Kathy A. Mangold

2.3k total citations
50 papers, 1.6k citations indexed

About

Kathy A. Mangold is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Kathy A. Mangold has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 11 papers in Molecular Biology and 11 papers in Epidemiology. Recurrent topics in Kathy A. Mangold's work include Pancreatic and Hepatic Oncology Research (7 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer Research and Treatments (4 papers). Kathy A. Mangold is often cited by papers focused on Pancreatic and Hepatic Oncology Research (7 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer Research and Treatments (4 papers). Kathy A. Mangold collaborates with scholars based in United States, China and Taiwan. Kathy A. Mangold's co-authors include William C. Allsbrook, Karen L. Kaul, Jonathan I. Epstein, Richard B. Thomson, Lance R. Peterson, D. G. Scarpelli, Evelyn S. C. Koay, Dante G. Scarpelli, Thomas M. Wheeler and David G. Bostwick and has published in prestigious journals such as Blood, PLoS ONE and Cancer.

In The Last Decade

Kathy A. Mangold

47 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathy A. Mangold United States 20 470 359 339 211 208 50 1.6k
Inger Nina Farstad Norway 29 214 0.5× 617 1.7× 429 1.3× 69 0.3× 428 2.1× 47 3.1k
Ioannis Kostopoulos Greece 22 298 0.6× 767 2.1× 800 2.4× 41 0.2× 188 0.9× 77 1.9k
Kamaldeep Joshi India 22 214 0.5× 147 0.4× 277 0.8× 75 0.4× 248 1.2× 116 1.5k
Suzanne T. Kanaly United States 14 208 0.4× 246 0.7× 449 1.3× 338 1.6× 129 0.6× 16 2.5k
Takeshi Mori Japan 29 1.3k 2.9× 621 1.7× 390 1.2× 65 0.3× 363 1.7× 154 2.9k
Weigang Hu China 24 612 1.3× 218 0.6× 154 0.5× 126 0.6× 189 0.9× 125 2.1k
Karen A. Hunt United Kingdom 23 121 0.3× 204 0.6× 545 1.6× 48 0.2× 413 2.0× 43 2.4k
Anand Ramanathan Malaysia 23 154 0.3× 262 0.7× 1.3k 3.7× 99 0.5× 156 0.8× 96 2.5k
Karen Ege Olsen Denmark 24 447 1.0× 725 2.0× 520 1.5× 89 0.4× 100 0.5× 62 1.8k
Philippe Joubert Canada 33 1.1k 2.3× 587 1.6× 818 2.4× 91 0.4× 268 1.3× 141 3.4k

Countries citing papers authored by Kathy A. Mangold

Since Specialization
Citations

This map shows the geographic impact of Kathy A. Mangold'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 Kathy A. Mangold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathy A. Mangold more than expected).

Fields of papers citing papers by Kathy A. Mangold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathy A. Mangold. 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 Kathy A. Mangold. The network helps show where Kathy A. Mangold may publish in the future.

Co-authorship network of co-authors of Kathy A. Mangold

This figure shows the co-authorship network connecting the top 25 collaborators of Kathy A. Mangold. A scholar is included among the top collaborators of Kathy A. Mangold 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 Kathy A. Mangold. Kathy A. Mangold 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.
Mangold, Kathy A., Sunitha Suresh, Alexa A. Freedman, et al.. (2025). Differences in Placental Pathologic Features by Trimester of Infection with SARS-CoV-2. Pediatric and Developmental Pathology. 28(4). 264–272.
2.
Vickman, Renee E., Yuefeng Yang, Zebin Hu, et al.. (2024). The safety and efficacy of systemic delivery of a new liver-de-targeted TGFβ signaling inhibiting adenovirus in an immunocompetent triple negative mouse mammary tumor model. Cancer Gene Therapy. 31(4). 574–585. 2 indexed citations
3.
Sabatini, Linda M., Kathy A. Mangold, Nora Joseph, et al.. (2024). Cell free DNA in patients with pancreatic adenocarcinoma: clinicopathologic correlations. Scientific Reports. 14(1). 15744–15744. 3 indexed citations
4.
Freedman, Alexa A., et al.. (2023). Molecular detection of bacteria, placental inflammation, and neonatal sepsis risk. Journal of Perinatology. 44(1). 46–54. 2 indexed citations
5.
Mangold, Kathy A., et al.. (2023). The Prevalence of SARS-CoV-2 in Autopsies Surrounding the Time of Pandemic Onset: A Retrospective Review of Cases. Archives of Pathology & Laboratory Medicine. 147(8). 867–871.
6.
Krantz, Seth B., Kristine Kuchta, Thomas A. Hensing, et al.. (2022). Germline mutations in high penetrance genes are associated with worse clinical outcomes in patients with non–small cell lung cancer. JTCVS Open. 12. 399–409. 2 indexed citations
7.
Ernst, Linda M., et al.. (2021). Umbilical cord miRNAs to predict neonatal early onset sepsis. PLoS ONE. 16(5). e0249548–e0249548. 6 indexed citations
8.
Mangold, Kathy A., et al.. (2021). Cell-free Nucleic Acids in Cancer. 4. 187–198. 1 indexed citations
9.
10.
Das, Sanchita, Kathy A. Mangold, Nirav Shah, et al.. (2020). Performance and Utilization of a Laboratory-Developed Nucleic Acid Amplification Test (NAAT) for the Diagnosis of Pulmonary and Extrapulmonary Tuberculosis in a Low-Prevalence Area. American Journal of Clinical Pathology. 154(1). 115–123. 7 indexed citations
11.
Talamonti, Mark S., Curtis R. Hall, Susan J. Stocker, et al.. (2014). Comparison of tumor markers for predicting outcomes after resection of nonfunctioning pancreatic neuroendocrine tumors. Surgery. 156(6). 1504–1511. 15 indexed citations
12.
Mehta, Maitry S., J. Trenton McClure, Kathy A. Mangold, & Lance R. Peterson. (2014). Performance of 3 real-time PCR assays for direct detection of Staphylococcus aureus and MRSA from clinical samples. Diagnostic Microbiology and Infectious Disease. 83(3). 211–215. 10 indexed citations
13.
Singh, Kamaljit, Kathy A. Mangold, Donna Schora, et al.. (2012). Rectal Screening for Klebsiella pneumoniae Carbapenemases: Comparison of Real-Time PCR and Culture Using Two Selective Screening Agar Plates. Journal of Clinical Microbiology. 50(8). 2596–2600. 65 indexed citations
14.
Kaul, Karen L., et al.. (2010). Influenza A Subtyping. Journal of Molecular Diagnostics. 12(5). 664–669. 9 indexed citations
15.
16.
Allsbrook, William C., et al.. (2001). Interobserver reproducibility of Gleason grading of prostatic carcinoma: General pathologist. Human Pathology. 32(1). 81–88. 280 indexed citations
17.
Yaylacı, Mustafa, et al.. (1996). Extensive extramedullary disease in myeloma: An uncommon variant with features of poor prognosis and dedifferentiation. Cancer. 77(7). 1298–1302. 4 indexed citations
18.
Scarpelli, Dante G., Kathy A. Mangold, Kuo‐Wei Chang, Sergio Laconi, & Susan C. Hubchak. (1994). Cellular and molecular alterations during in vitro carcinogenesis of hamster pancreatic duct cells. International Journal of Pancreatology. 16. 280–282. 1 indexed citations
19.
Mangold, Kathy A., et al.. (1994). In vitro carcinogenesis of hamster pancreatic duct cells: cellular and molecular alterations. Carcinogenesis. 15(9). 1979–1984. 16 indexed citations
20.
Chang, Yung‐Jin, et al.. (1991). Analysis of ras gene mutations in rainbow trout liver tumors initiated by aflatoxin B1. Molecular Carcinogenesis. 4(2). 112–119. 37 indexed citations

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.

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