Kurt R. Weiss

2.8k total citations · 1 hit paper
79 papers, 1.8k citations indexed

About

Kurt R. Weiss is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Kurt R. Weiss has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pulmonary and Respiratory Medicine, 25 papers in Molecular Biology and 24 papers in Surgery. Recurrent topics in Kurt R. Weiss's work include Sarcoma Diagnosis and Treatment (28 papers), Bone Tumor Diagnosis and Treatments (9 papers) and Management of metastatic bone disease (8 papers). Kurt R. Weiss is often cited by papers focused on Sarcoma Diagnosis and Treatment (28 papers), Bone Tumor Diagnosis and Treatments (9 papers) and Management of metastatic bone disease (8 papers). Kurt R. Weiss collaborates with scholars based in United States, China and United Kingdom. Kurt R. Weiss's co-authors include Johnny Huard, Mitchell S. Fourman, Paul D. Robbins, Christopher H. Evans, Richard L. McGough, Rebekah Belayneh, Mark A. Goodman, J. Troy Littleton, A. Baltzer and Michele J. Grimm and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and The Journal of Immunology.

In The Last Decade

Kurt R. Weiss

73 papers receiving 1.7k citations

Hit Papers

Update on Osteosarcoma 2021 2026 2022 2024 2021 40 80 120
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. Update on Osteosarcoma
    2021 145 citations Rebekah Belayneh, Mitchell S. Fourman et al. Current Oncology Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kurt R. Weiss United States 23 770 445 431 323 306 79 1.8k
Maarten van Dinther Netherlands 25 1.6k 2.1× 391 0.9× 523 1.2× 290 0.9× 190 0.6× 44 2.3k
Yuki Morimoto Japan 25 592 0.8× 695 1.6× 539 1.3× 381 1.2× 271 0.9× 89 2.0k
Clóvis Antônio Lopes Pinto Brazil 21 424 0.6× 337 0.8× 543 1.3× 226 0.7× 484 1.6× 116 1.6k
Simona Gurzu Romania 21 487 0.6× 336 0.8× 671 1.6× 316 1.0× 420 1.4× 165 1.6k
Weixun Zhou China 20 571 0.7× 447 1.0× 596 1.4× 337 1.0× 359 1.2× 143 1.8k
Yuki Matsushita Japan 21 880 1.1× 148 0.3× 424 1.0× 285 0.9× 298 1.0× 76 1.8k
Natacha Entz‐Werlé France 19 588 0.8× 441 1.0× 428 1.0× 426 1.3× 155 0.5× 83 1.5k
Nicholas Willumsen Denmark 26 609 0.8× 330 0.7× 811 1.9× 455 1.4× 178 0.6× 82 2.0k
Ming Zhao China 25 660 0.9× 440 1.0× 360 0.8× 211 0.7× 361 1.2× 151 1.7k
John Langenfeld United States 20 1.1k 1.4× 532 1.2× 740 1.7× 203 0.6× 174 0.6× 46 1.9k

Countries citing papers authored by Kurt R. Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Kurt R. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurt R. Weiss. 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 Kurt R. Weiss. The network helps show where Kurt R. Weiss may publish in the future.

Co-authorship network of co-authors of Kurt R. Weiss

This figure shows the co-authorship network connecting the top 25 collaborators of Kurt R. Weiss. A scholar is included among the top collaborators of Kurt R. Weiss 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 Kurt R. Weiss. Kurt R. Weiss 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.
Belayneh, Rebekah, David N. Boone, Vaidehi Patel, et al.. (2024). RNA-sequencing predicts a role of androgen receptor and aldehyde dehydrogenase 1A1 in osteosarcoma lung metastases. Oncogene. 43(14). 1007–1018.
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Ma, Li, Edwin O. Chaharbakhshi, Ines Lohse, et al.. (2024). Proteomic and transcriptomic analyses identify apo-transcobalamin-II as a biomarker of overall survival in osteosarcoma. Frontiers in Oncology. 14. 1417459–1417459.
5.
Li, William T., Marcus M. Malek, Rajeev Dhupar, et al.. (2023). Intraoperative Evaluation of Soft Tissue Sarcoma Surgical Margins with Indocyanine Green Fluorescence Imaging. Cancers. 15(3). 582–582. 10 indexed citations
6.
Maurer, Lisa M., Claire M. Julian, Nathanael G. Bailey, et al.. (2022). BRCA1-Associated RING Domain-1 (BARD1) Loss and GBP1 Expression Enhance Sensitivity to DNA Damage in Ewing Sarcoma. Cancer Research Communications. 2(4). 220–232. 10 indexed citations
7.
Cillo, Anthony R., Nathanael G. Bailey, Sayali Onkar, et al.. (2022). Ewing Sarcoma and Osteosarcoma Have Distinct Immune Signatures and Intercellular Communication Networks. Clinical Cancer Research. 28(22). 4968–4982. 51 indexed citations
8.
Mandell, Jonathan B., Jan H. Beumer, Jianxia Guo, et al.. (2022). ALDH1A1 Gene Expression and Cellular Copper Levels between Low and Highly Metastatic Osteosarcoma Provide a Case for Novel Repurposing with Disulfiram and Copper. Sarcoma. 2022. 1–12. 5 indexed citations
9.
Belayneh, Rebekah, et al.. (2021). Update on Osteosarcoma. Current Oncology Reports. 23(6). 71–71. 145 indexed citations breakdown →
10.
Levine, Kevin M., Nolan Priedigkeit, Ahmed Basudan, et al.. (2019). FGFR4 overexpression and hotspot mutations in metastatic ER+ breast cancer are enriched in the lobular subtype. npj Breast Cancer. 5(1). 19–19. 41 indexed citations
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Pore, Subrata K., Eun‐Ryeong Hahm, Su‐Hyeong Kim, et al.. (2019). A Novel Sulforaphane-Regulated Gene Network in Suppression of Breast Cancer–Induced Osteolytic Bone Resorption. Molecular Cancer Therapeutics. 19(2). 420–431. 10 indexed citations
13.
Fourman, Mitchell S., et al.. (2018). Disulfiram reduces metastatic osteosarcoma tumor burden in an immunocompetent Balb/c or-thotopic mouse model. Oncotarget. 9(53). 30163–30172. 11 indexed citations
14.
Basudan, Ahmed, Nolan Priedigkeit, Ryan J. Hartmaier, et al.. (2018). Frequent ESR1 and CDK Pathway Copy-Number Alterations in Metastatic Breast Cancer. Molecular Cancer Research. 17(2). 457–468. 24 indexed citations
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Weiss, Kurt R. & Melissa N. Zimel. (2018). Considerations for the Long Term Treatment of Pediatric Sarcoma Survivors. Indian Journal of Orthopaedics. 52(1). 77–80. 3 indexed citations
17.
Adamik, Juraj, Shunqian Jin, Quanhong Sun, et al.. (2017). EZH2 or HDAC1 Inhibition Reverses Multiple Myeloma-Induced Epigenetic Suppression of Osteoblast Differentiation. PMC. 1 indexed citations
18.
March, Daniel S., Adam C. Rothenberg, Clifford Voigt, et al.. (2016). Notch Signaling Mediates Skeletal Muscle Atrophy in Cancer Cachexia Caused by Osteosarcoma. Sarcoma. 2016. 1–12. 35 indexed citations
19.
Sultankulov, Bolat, et al.. (2013). Chick Embryo Extract Demethylates Tumor Suppressor Genes in Osteosarcoma Cells. Clinical Orthopaedics and Related Research. 472(3). 865–873. 11 indexed citations
20.
Kontakis, George, et al.. (2006). Fat embolism: special situations Bilateral femoral fractures and pathologic femoral fractures. Injury. 37(4). S19–S24. 30 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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