R Tubbs

931 total citations
22 papers, 714 citations indexed

About

R Tubbs is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, R Tubbs has authored 22 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 11 papers in Immunology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in R Tubbs's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (4 papers). R Tubbs is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (4 papers). R Tubbs collaborates with scholars based in United States, India and Netherlands. R Tubbs's co-authors include James H. Finke, Ronald M. Bukowski, Charles S. Tannenbaum, Thomas A. Hamilton, David A. Armstrong, Vladimir Kolenko, Patricia Rayman, Cornelia Hauser‐Kronberger, James F. Hainfeld and Su H and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Oncogene.

In The Last Decade

R Tubbs

21 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Tubbs United States 12 437 318 218 79 77 22 714
Sophie Lebel‐Binay France 17 435 1.0× 279 0.9× 343 1.6× 46 0.6× 98 1.3× 21 977
Marian L. Birkeland United States 13 544 1.2× 215 0.7× 323 1.5× 144 1.8× 68 0.9× 15 1.0k
Cecilia Rietz United States 9 611 1.4× 694 2.2× 178 0.8× 51 0.6× 80 1.0× 13 973
Andrew Gray United States 10 480 1.1× 258 0.8× 288 1.3× 90 1.1× 130 1.7× 12 740
Naotaka Shibagaki Japan 16 372 0.9× 278 0.9× 362 1.7× 52 0.7× 72 0.9× 42 920
JR Gralow United States 9 415 0.9× 369 1.2× 230 1.1× 128 1.6× 98 1.3× 34 796
Alfons J. van den Eertwegh Netherlands 12 545 1.2× 257 0.8× 118 0.5× 39 0.5× 74 1.0× 24 729
P L Stern United Kingdom 11 355 0.8× 413 1.3× 254 1.2× 96 1.2× 90 1.2× 13 835
S. Schwarz United States 6 646 1.5× 468 1.5× 231 1.1× 50 0.6× 57 0.7× 12 977
Elisabetta Dondi France 15 348 0.8× 256 0.8× 218 1.0× 42 0.5× 55 0.7× 34 723

Countries citing papers authored by R Tubbs

Since Specialization
Citations

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

Fields of papers citing papers by R Tubbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Tubbs

This figure shows the co-authorship network connecting the top 25 collaborators of R Tubbs. A scholar is included among the top collaborators of R Tubbs 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 R Tubbs. R Tubbs 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.
Tubbs, R, Alexander L. Julian, & Giovanna Oriti. (2024). Dead-Time Compensation to Reduce the Common Mode Voltage in a Three-Phase Four-Leg Inverter. 4832–4839.
2.
Cheriyath, Venugopalan, Barbara Jacobs, Paul Elson, et al.. (2011). G1P3, an interferon- and estrogen-induced survival protein contributes to hyperplasia, tamoxifen resistance and poor outcomes in breast cancer. Oncogene. 31(17). 2222–2236. 43 indexed citations
3.
Sieuwerts, Anieta M., Tanja Čufer, Angelo Paradiso, et al.. (2009). The 76-Gene Signature Defines High-Risk Patients That Benefit from Adjuvant Tamoxifen Therapy.. Cancer Research. 69(24_Supplement). 2021–2021. 8 indexed citations
4.
Bukowski, Ronald M., Patricia Rayman, Luis Moltó, et al.. (1999). Interferon-gamma and CXC chemokine induction by interleukin 12 in renal cell carcinoma.. PubMed. 5(10). 2780–9. 34 indexed citations
5.
Uzzo, Robert G., Patricia Rayman, Vladimir Kolenko, et al.. (1999). Mechanisms of apoptosis in T cells from patients with renal cell carcinoma.. PubMed. 5(5). 1219–29. 112 indexed citations
6.
Kolenko, Vladimir, Qing Wang, John J. O’Shea, et al.. (1997). Tumor-induced suppression of T lymphocyte proliferation coincides with inhibition of Jak3 expression and IL-2 receptor signaling: role of soluble products from human renal cell carcinomas. The Journal of Immunology. 159(6). 3057–3067. 66 indexed citations
7.
Curristin, S M, et al.. (1997). VBP and RelA regulate avian leukosis virus long terminal repeat-enhanced transcription in B cells. Journal of Virology. 71(8). 5972–5981. 8 indexed citations
8.
Zehbe, Ingeborg, et al.. (1997). Sensitive in situ hybridization with catalyzed reporter deposition, streptavidin-Nanogold, and silver acetate autometallography: detection of single-copy human papillomavirus.. PubMed. 150(5). 1553–61. 84 indexed citations
9.
Olencki, Thomas, James H. Finke, R Tubbs, et al.. (1996). Immunomodulatory Effects of Interleukin-2 and Interleukin-4 in Patients with Malignancy. Journal of Immunotherapy. 19(1). 69–80. 5 indexed citations
10.
Tannenbaum, Charles S., David A. Armstrong, R Tubbs, et al.. (1996). Cytokine and chemokine expression in tumors of mice receiving systemic therapy with IL-12. The Journal of Immunology. 156(2). 693–699. 142 indexed citations
11.
Wang, Qing, Jill Stanley, S. Kudoh, et al.. (1995). T cells infiltrating non-Hodgkin's B cell lymphomas show altered tyrosine phosphorylation pattern even though T cell receptor/CD3-associated kinases are present. The Journal of Immunology. 155(3). 1382–1392. 61 indexed citations
12.
Diaz, José I., R Tubbs, Mark H. Stoler, & Thomas M. Grogan. (1993). Cytolytic (TIA-1+) Tumor Infiltrating Lymphocytes in B Cell Non-Hodgkin's Lymphomas. Leukemia & lymphoma. 9(1-2). 91–94. 14 indexed citations
13.
Olencki, Thomas, G. Thomas Budd, James H. Finke, et al.. (1993). Phase IA/IB Trial of rhIL-6 in Patients with Refractory Malignancies: An Immunomodulatory Cytokine. Journal of Immunotherapy. 14(4). 362–362. 2 indexed citations
14.
Diaz, José I., Glenn H. Segal, R Tubbs, Mark H. Stoler, & Thomas M. Grogan. (1992). Determination of T Cell Monoclonality in Non-Hodgkin's Lymphoma by Frozen Section Immunohistology. Leukemia & lymphoma. 8(6). 477–481. 1 indexed citations
15.
Barna, Barbara P., et al.. (1990). Phase Ia-Ib trial of an anti-GD3 monoclonal antibody in combination with interferon-alpha in patients with malignant melanoma.. PubMed. 9(3). 319–28. 9 indexed citations
16.
Je, Pontes, et al.. (1990). Circulating cancer cells in renal-cell carcinoma.. PubMed. 348. 1–12. 6 indexed citations
17.
Budd, G. Thomas, Barbara P. Barna, James M. Boyett, et al.. (1989). Phase I clinical trial of interleukin 2 and alpha-interferon: toxicity and immunologic effects.. PubMed. 49(22). 6432–6. 42 indexed citations
18.
Finke, James H., R Tubbs, Barbara A. Connelly, Edson Pontes, & James E. Montie. (1988). Tumor‐Infiltrating Lymphocytes in Patients with Renal‐Cell Carcinoma. Annals of the New York Academy of Sciences. 532(1). 387–394. 41 indexed citations
19.
Siegel, Steven, Barbara Risius, R Tubbs, K. Shepard, & J. Edson Pontes. (1986). Bilateral Solid Renal Masses in a Young Man. The Journal of Urology. 135(2). 327–330. 2 indexed citations
20.
Clough, John D., et al.. (1986). Antibodies against nuclear antigens: Association with lupus nephritis. Cleveland Clinic Journal of Medicine. 53(3). 259–265. 12 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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