VJ Suman

2.7k total citations
15 papers, 439 citations indexed

About

VJ Suman is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, VJ Suman has authored 15 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Genetics. Recurrent topics in VJ Suman's work include Advanced Breast Cancer Therapies (6 papers), Estrogen and related hormone effects (5 papers) and Breast Cancer Treatment Studies (5 papers). VJ Suman is often cited by papers focused on Advanced Breast Cancer Therapies (6 papers), Estrogen and related hormone effects (5 papers) and Breast Cancer Treatment Studies (5 papers). VJ Suman collaborates with scholars based in United States, India and Italy. VJ Suman's co-authors include EA Perez, N E Davidson, P. Kaufman, Robert B. Jenkins, Patrick C. Roche, J. N. Ingle, Brittany L. Murphy, Silvana Martino, Richard M. Weinshilboum and Christopher G. Chute and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

VJ Suman

11 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
VJ Suman United States 6 338 220 175 130 50 15 439
Sandra Martínez-Morilla United States 13 299 0.9× 133 0.6× 135 0.8× 194 1.5× 77 1.5× 24 541
Leila Russo Italy 8 256 0.8× 117 0.5× 137 0.8× 56 0.4× 80 1.6× 13 342
EA Perez United States 11 541 1.6× 279 1.3× 172 1.0× 162 1.2× 102 2.0× 32 617
Roberto Salgado Belgium 12 555 1.6× 204 0.9× 246 1.4× 222 1.7× 187 3.7× 37 822
Michele Bottosso Italy 11 367 1.1× 148 0.7× 237 1.4× 67 0.5× 160 3.2× 34 504
Julie Means‐Powell United States 10 125 0.4× 290 1.3× 133 0.8× 84 0.6× 71 1.4× 12 507
Joanna Niemiec Poland 14 243 0.7× 124 0.6× 134 0.8× 114 0.9× 163 3.3× 47 462
Michelle K. DeMeo United States 7 314 0.9× 147 0.7× 99 0.6× 79 0.6× 109 2.2× 17 379
Christopher Stokoe United States 9 480 1.4× 189 0.9× 254 1.5× 49 0.4× 134 2.7× 17 547
EC Inwald Germany 6 266 0.8× 81 0.4× 260 1.5× 114 0.9× 98 2.0× 11 517

Countries citing papers authored by VJ Suman

Since Specialization
Citations

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

Fields of papers citing papers by VJ Suman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of VJ Suman

This figure shows the co-authorship network connecting the top 25 collaborators of VJ Suman. A scholar is included among the top collaborators of VJ Suman 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 VJ Suman. VJ Suman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Bhagat, Amit, et al.. (2024). Fake News Detection Using ARO and LSTM Algorithms. SN Computer Science. 6(1).
2.
3.
Suman, VJ, et al.. (2017). Abstract P3-07-20: Biological functions of ERβ in triple negative breast cancer and its utility as a novel therapeutic drug target. Cancer Research. 77(4_Supplement). P3–7. 1 indexed citations
4.
Guo, Chengxian, et al.. (2017). Abstract P1-08-03: Identification and characterization of a novel endoxifen substrate, PKCβ1, and its interaction with the estrogen receptor. Cancer Research. 77(4_Supplement). P1–8. 1 indexed citations
8.
Gonçalves, Rodrigo, Yungan Tao, VJ Suman, et al.. (2013). Abstract P3-05-10: The development of a standardized Ki-67 assay for the ALTERNATE trial: An experience in academic investigational device development. Cancer Research. 73(24_Supplement). P3–5. 1 indexed citations
9.
Romond, Edward H., VJ Suman, CE Geyer, et al.. (2012). Abstract S5-5: Trastuzumab plus adjuvant chemotherapy for HER2-positive breast cancer: Final planned joint analysis of overall survival (OS) from NSABP B-31 and NCCTG N9831. Cancer Research. 72(24_Supplement). S5–5. 33 indexed citations
11.
Savova, Guergana, Janet E. Olson, Seán Murphy, et al.. (2011). Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record. Journal of the American Medical Informatics Association. 19(e1). e83–e89. 25 indexed citations
12.
Ellis, Matthew J., Gary Unzeitig, P. Kelly Marcom, et al.. (2010). ACOSOG Z1031: A randomized phase II trial comparing exemestane, letrozole, and anastrozole in postmenopausal women with clinical stage II/III estrogen receptor-positive breast cancer.. Journal of Clinical Oncology. 28(18_suppl). LBA513–LBA513. 19 indexed citations
15.
Roche, Patrick C., VJ Suman, Robert B. Jenkins, et al.. (2002). Concordance Between Local and Central Laboratory HER2 Testing in the Breast Intergroup Trial N9831. JNCI Journal of the National Cancer Institute. 94(11). 855–857. 313 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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