James Stec

6.1k total citations · 1 hit paper
40 papers, 4.6k citations indexed

About

James Stec is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, James Stec has authored 40 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 17 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in James Stec's work include HER2/EGFR in Cancer Research (10 papers), Gene expression and cancer classification (10 papers) and Breast Cancer Treatment Studies (8 papers). James Stec is often cited by papers focused on HER2/EGFR in Cancer Research (10 papers), Gene expression and cancer classification (10 papers) and Breast Cancer Treatment Studies (8 papers). James Stec collaborates with scholars based in United States, United Kingdom and France. James Stec's co-authors include Lajos Pusztai, W. Fraser Symmans, Jeffrey S. Ross, Gabriel N. Hortobágyi, Mark Ayers, Kenneth R. Hess, Gerald P. Linette, Nuhad K. Ibrahim, Roman Rouzier and Peter J. Wagner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Oncology.

In The Last Decade

James Stec

39 papers receiving 4.5k citations

Hit Papers

Breast Cancer Molecular Subtypes Respond Differently to P... 2005 2026 2012 2019 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Stec United States 24 2.2k 2.0k 1.9k 602 580 40 4.6k
Masafumi Kurosumi Japan 37 2.2k 1.0× 1.8k 0.9× 1.4k 0.7× 541 0.9× 583 1.0× 202 4.3k
Susan M. Edgerton United States 34 3.2k 1.4× 1.8k 0.9× 2.8k 1.5× 698 1.2× 651 1.1× 62 5.2k
Zhi‐Ming Shao China 33 1.6k 0.7× 2.0k 1.0× 1.9k 1.0× 687 1.1× 388 0.7× 169 4.3k
Attila Tordai Hungary 29 2.0k 0.9× 1.7k 0.9× 1.6k 0.8× 519 0.9× 215 0.4× 121 4.6k
Kunwei Shen China 37 2.7k 1.2× 2.2k 1.1× 1.6k 0.9× 914 1.5× 792 1.4× 231 5.2k
Ellen Rawlinson Canada 12 2.8k 1.3× 2.4k 1.2× 1.6k 0.8× 959 1.6× 314 0.5× 16 4.9k
Steven Van Laere Belgium 45 2.7k 1.2× 2.5k 1.2× 2.6k 1.4× 968 1.6× 265 0.5× 161 5.6k
Thomas Hatschek Sweden 29 2.4k 1.1× 1.9k 1.0× 1.1k 0.6× 956 1.6× 614 1.1× 100 4.5k
David R. Shalinsky United States 27 1.7k 0.8× 1.3k 0.6× 2.3k 1.2× 1.0k 1.7× 294 0.5× 52 4.3k
Theodoros Foukakis Sweden 33 2.1k 0.9× 1.5k 0.7× 1.4k 0.8× 726 1.2× 381 0.7× 135 4.1k

Countries citing papers authored by James Stec

Since Specialization
Citations

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

Fields of papers citing papers by James Stec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Stec. 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 James Stec. The network helps show where James Stec may publish in the future.

Co-authorship network of co-authors of James Stec

This figure shows the co-authorship network connecting the top 25 collaborators of James Stec. A scholar is included among the top collaborators of James Stec 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 James Stec. James Stec 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
4.
Yam, Clinton, Gaiane M. Rauch, Meghan Karuturi, et al.. (2020). A phase II study of Mirvetuximab Soravtansine in triple-negative breast cancer. Investigational New Drugs. 39(2). 509–515. 24 indexed citations
5.
Heo, Gyu Seong, Lisa Detering, Hannah Luehmann, et al.. (2019). Folate Receptor α-Targeted 89Zr-M9346A Immuno-PET for Image-Guided Intervention with Mirvetuximab Soravtansine in Triple-Negative Breast Cancer. Molecular Pharmaceutics. 16(9). 3996–4006. 13 indexed citations
6.
Rouzier, Roman, Charles M. Perou, W. Fraser Symmans, et al.. (2005). Breast Cancer Molecular Subtypes Respond Differently to Preoperative Chemotherapy. Clinical Cancer Research. 11(16). 5678–5685. 1414 indexed citations breakdown →
7.
Stec, James, et al.. (2005). Charakterystyka mutantow genetycznych wirusa enzootycznej bialaczki bydla i ich znaczenie w diagnostyce serologicznej. Medycyna Weterynaryjna. 61(6). 699–702. 1 indexed citations
8.
Stec, James, Jing Wang, Kevin R. Coombes, et al.. (2005). Comparison of the Predictive Accuracy of DNA Array-Based Multigene Classifiers across cDNA Arrays and Affymetrix GeneChips. Journal of Molecular Diagnostics. 7(3). 357–367. 41 indexed citations
9.
Symmans, W. Fraser, S. Keith Anderson, Mark Ayers, et al.. (2005). A single-gene biomarker identifies breast cancers associated with immature cell type and short duration of prior breastfeeding. Endocrine Related Cancer. 12(4). 1059–1069. 34 indexed citations
10.
Ross, Jeffrey S., David P. Schenkein, Robert G. Pietrusko, et al.. (2004). Targeted Therapies for Cancer 2004. American Journal of Clinical Pathology. 122(4). 598–609. 24 indexed citations
11.
Pusztai, Lajos, Kevin R. Coombes, Sebastian Hoersch, et al.. (2004). Cross platform comparison of multigene predictors of response to neoadjuvant paclitaxel/FAC chemotherapy in breast cancer generated by cDNA arrays and Affymetrix GeneChips. Journal of Clinical Oncology. 22(14_suppl). 503–503. 2 indexed citations
12.
Ross, Jeffrey S., David P. Schenkein, Robert G. Pietrusko, et al.. (2004). Targeted Therapies for Cancer 2004. American Journal of Clinical Pathology. 122(4). 598–609. 211 indexed citations
13.
Symmans, W. Fraser, Mark Ayers, Edwin Clark, et al.. (2003). Total RNA yield and microarray gene expression profiles from fine‐needle aspiration biopsy and core‐needle biopsy samples of breast carcinoma. Cancer. 97(12). 2960–2971. 140 indexed citations
14.
Ross, Jeffrey S., Jonathan A. Fletcher, Kenneth J. Bloom, et al.. (2003). HER-2/neu Testing in Breast Cancer. PubMed. 120(suppl_1). S53–S71. 46 indexed citations
15.
Pusztai, Lajos, Mark Ayers, James Stec, et al.. (2003). Gene expression profiles obtained from fine-needle aspirations of breast cancer reliably identify routine prognostic markers and reveal large-scale molecular differences between estrogen-negative and estrogen-positive tumors.. PubMed. 9(7). 2406–15. 168 indexed citations
16.
Ross, Jeffrey S., Gerald P. Linette, James Stec, et al.. (2003). Breast cancer biomarkers and molecular medicine. Expert Review of Molecular Diagnostics. 3(5). 573–585. 80 indexed citations
17.
Siegel, Arthur J., James Stec, Izabella Lipinska, et al.. (2001). Effect of marathon running on inflammatory and hemostatic markers. The American Journal of Cardiology. 88(8). 918–920. 101 indexed citations
18.
Tofler, Geoffrey H., James Stec, John Beadle, et al.. (2000). The Effect of Vitamin C Supplementation on Coagulability and Lipid Levels in Healthy Male Subjects. Thrombosis Research. 100(1). 35–41. 23 indexed citations
19.
Siegel, Arthur J., Michelle B. Sholar, Jack H. Mendelson, et al.. (1999). Cocaine-Induced Erythrocytosis and Increase in von Willebrand Factor. Archives of Internal Medicine. 159(16). 1925–1925. 40 indexed citations
20.
Stec, James, et al.. (1990). Zinc and Copper Metabolism in Nephrotic Syndrome. ˜The œNephron journals/Nephron journals. 56(2). 186–187. 23 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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