Mary J. Lindstrom

11.4k total citations · 5 hit papers
126 papers, 8.9k citations indexed

About

Mary J. Lindstrom is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mary J. Lindstrom has authored 126 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 22 papers in Molecular Biology and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mary J. Lindstrom's work include Cancer-related Molecular Pathways (9 papers), Ocular Oncology and Treatments (9 papers) and Virus-based gene therapy research (8 papers). Mary J. Lindstrom is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), Ocular Oncology and Treatments (9 papers) and Virus-based gene therapy research (8 papers). Mary J. Lindstrom collaborates with scholars based in United States, Canada and Switzerland. Mary J. Lindstrom's co-authors include Douglas M. Bates, J. F. Fowler, Josephine Harter, D. Popovic, Anthony Magliocco, Susan C. Hagness, John H. Booske, Mariya Lazebnik, M. Okoniewski and John R. Westbury and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Mary J. Lindstrom

126 papers receiving 8.5k citations

Hit Papers

Nonlinear Mixed Effects Models for Repeated Measures Data 1988 2026 2000 2013 1990 2007 1988 2007 1992 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nonlinear Mixed Effects Models for Repeated Measures Data
    1990 1.4k citations Mary J. Lindstrom, Douglas M. Bates profile →
  2. A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries
    2007 1.0k citations Mary J. Lindstrom et al. profile →
  3. Newton—Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
    1988 642 citations Mary J. Lindstrom, Douglas M. Bates Journal of the American Statistical Association profile →
  4. A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries
    2007 553 citations Mary J. Lindstrom et al. profile →
  5. Loss of local control with prolongation in radiotherapy
    1992 385 citations Mary J. Lindstrom et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mary J. Lindstrom United States 43 1.8k 1.2k 1.0k 923 800 126 8.9k
Taesung Park South Korea 41 1.1k 0.6× 4.5k 3.7× 561 0.6× 2.2k 2.4× 2.8k 3.5× 425 24.8k
Paul H.C. Eilers Netherlands 54 735 0.4× 2.6k 2.2× 2.3k 2.3× 464 0.5× 660 0.8× 205 13.9k
Eugene Demidenko United States 44 712 0.4× 1.3k 1.1× 379 0.4× 716 0.8× 757 0.9× 156 5.9k
Anne‐Laure Boulesteix Germany 47 413 0.2× 2.6k 2.2× 916 0.9× 461 0.5× 454 0.6× 148 12.0k
Haikady N. Nagaraja United States 54 799 0.4× 1.5k 1.2× 2.1k 2.1× 409 0.4× 327 0.4× 246 14.7k
Max Kühn United States 17 432 0.2× 1.8k 1.5× 220 0.2× 463 0.5× 339 0.4× 44 12.0k
Giuseppe Jurman Italy 28 563 0.3× 1.7k 1.4× 165 0.2× 660 0.7× 411 0.5× 97 9.9k
Andrew P. Bradley Australia 33 834 0.5× 1.0k 0.8× 162 0.2× 1.6k 1.8× 311 0.4× 153 9.8k
Karel Pavelká Czechia 56 1.1k 0.6× 2.6k 2.2× 130 0.1× 1.4k 1.5× 1.3k 1.7× 374 19.7k
Dinesh Kumar India 55 2.1k 1.2× 613 0.5× 145 0.1× 1.2k 1.3× 325 0.4× 918 12.4k

Countries citing papers authored by Mary J. Lindstrom

Since Specialization
Citations

This map shows the geographic impact of Mary J. Lindstrom's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mary J. Lindstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary J. Lindstrom more than expected).

Fields of papers citing papers by Mary J. Lindstrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary J. Lindstrom. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mary J. Lindstrom. The network helps show where Mary J. Lindstrom may publish in the future.

Co-authorship network of co-authors of Mary J. Lindstrom

This figure shows the co-authorship network connecting the top 25 collaborators of Mary J. Lindstrom. A scholar is included among the top collaborators of Mary J. Lindstrom based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mary J. Lindstrom. Mary J. Lindstrom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Grimes, Ian, et al.. (2013). Predictors of Recurrent Ingestion of Gastrointestinal Foreign Bodies. SHILAP Revista de lepidopterología. 27(1). e1–e4. 24 indexed citations
2.
Hinshaw, J. Louis, et al.. (2011). Ionizing Radiation in Abdominal CT: Unindicated Multiphase Scans Are an Important Source of Medically Unnecessary Exposure. Journal of the American College of Radiology. 8(11). 756–761. 67 indexed citations
3.
Burnside, Elizabeth S., Jesse Davis, Jagpreet Chhatwal, et al.. (2009). Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings. Radiology. 251(3). 663–672. 66 indexed citations
4.
Blank, Robert D., et al.. (2009). Adjustment for body mass index and calcitrophic hormone levels improves the diagnostic accuracy of the spot urine calcium-to-creatinine ratio. Osteoporosis International. 21(8). 1417–1425. 7 indexed citations
5.
Hansen, Karen E., Andrea N. Jones, Mary J. Lindstrom, et al.. (2008). Vitamin D Insufficiency: Disease or No Disease?. Journal of Bone and Mineral Research. 23(7). 1052–1060. 78 indexed citations
6.
Ginkel, Paul R. van, Dhruv Sareen, Lalita Subramanian, et al.. (2007). Resveratrol Inhibits Tumor Growth of Human Neuroblastoma and Mediates Apoptosis by Directly Targeting Mitochondria. Clinical Cancer Research. 13(17). 5162–5169. 155 indexed citations
7.
Dickerson, Erin B., Nasim Akhtar, Howard Steinberg, et al.. (2004). Enhancement of the Antiangiogenic Activity of Interleukin-12 by Peptide Targeted Delivery of the Cytokine to αvβ3 Integrin. Molecular Cancer Research. 2(12). 663–673. 49 indexed citations
8.
Kim, Kwanghee, Mary J. Lindstrom, & Michael N. Gould. (2002). Regions of H- and K-ras that provide organ specificity/potency in mammary cancer induction.. PubMed. 62(5). 1241–5. 14 indexed citations
9.
Lindstrom, Mary J.. (1999). Penalized Estimation of Free-Knot Splines. Journal of Computational and Graphical Statistics. 8(2). 333–352. 61 indexed citations
10.
Gould, Michael N., C.K. Hill, James F. MacKay, et al.. (1999). Radiobiological Studies Using Synchrotron-produced Ultrasoft X-rays.. Journal of Radiation Research. 40(Suppl.). 66–73. 6 indexed citations
11.
Lindstrom, Mary J., et al.. (1998). Differential quantitative effects of interleukin (IL)-2 and IL-15 on cytotoxic activity and proliferation by lymphocytes from patients receiving in vivo IL-2 therapy.. PubMed. 4(5). 1287–96. 6 indexed citations
12.
Surfus, Jean E., Jacquelyn A. Hank, Egbert Oosterwijk, et al.. (1996). Anti-Renal-Cell Carcinoma Chimeric Antibody G250 Facilitates Antibody-Dependent Cellular Cytotoxicity with In Vitro and In Vivo Interleukin-2-Activated Effectors. Journal of Immunotherapy. 19(3). 184–191. 50 indexed citations
13.
Howard, Steven, et al.. (1995). Proliferation-Independent Growth Factor Modulation of the Radiation Sensitivity of Human Prostate Cells. Radiation Research. 143(2). 229–229. 5 indexed citations
14.
Pinheiro, José Paulo, Douglas M. Bates, & Mary J. Lindstrom. (1994). Model Building for Nonlinear Mixed-Effects Models. 46 indexed citations
15.
Helfand, Stuart C., Steve A. Soergel, Jacek Gan, et al.. (1994). Potential to Involve Multiple Effector Cells with Human Recombinant Interleukin-2 and Antiganglioside Monoclonal Antibodies in a Canine Malignant Melanoma Immunotherapy Model. Journal of Immunotherapy. 16(3). 188–197. 18 indexed citations
16.
Nolten, Wolfram E., Daniel A. Goldstein, Mary J. Lindstrom, et al.. (1993). Effects of Cytokines on the Pituitary–Adrenal Axis in Cancer Patients. Journal of Interferon Research. 13(5). 349–357. 42 indexed citations
17.
Wang, Binghe, et al.. (1992). Difference in the response of neu and ras oncogene-induced rat mammary carcinomas to early and late ovariectomy.. PubMed. 52(15). 4102–5. 20 indexed citations
18.
Schiller, Joan H., et al.. (1991). Immunological Effects of Levamisole In Vitro. Journal of Immunotherapy. 10(5). 297–306. 13 indexed citations
19.
Witt, Patricia L., et al.. (1990). Basal and Interferon-Induced 2′,5′-01igoadenylate Synthetase in Human Monocytes, Lymphocytes, and Peritoneal Macrophages. Journal of Interferon Research. 10(4). 393–402. 26 indexed citations
20.
Lindstrom, Mary J. & Douglas M. Bates. (1988). Newton—Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data. Journal of the American Statistical Association. 83(404). 1014–1022. 642 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Taesung Park Breakdown of academic impact, for papers by Paul H.C. Eilers Breakdown of academic impact, for papers by Eugene Demidenko Breakdown of academic impact, for papers by Anne‐Laure Boulesteix Breakdown of academic impact, for papers by Haikady N. Nagaraja Breakdown of academic impact, for papers by Max Kühn Breakdown of academic impact, for papers by Giuseppe Jurman Breakdown of academic impact, for papers by Andrew P. Bradley Breakdown of academic impact, for papers by Karel Pavelká Breakdown of academic impact, for papers by Dinesh Kumar
Rankless by CCL
2026