Steve Ruben

3.3k total citations · 1 hit paper
17 papers, 1.7k citations indexed

About

Steve Ruben is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Steve Ruben has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Steve Ruben's work include Immunotherapy and Immune Responses (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Steve Ruben is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Steve Ruben collaborates with scholars based in United States, Italy and India. Steve Ruben's co-authors include Reinhard Ebner, Guoliang Yu, Roselyn J. Eisenberg, Gary H. Cohen, Davide Mauri, Carl F. Ware, Rebecca I. Montgomery, Marianne Murphy, Timothy C. Cheung and Patricia G. Spear and has published in prestigious journals such as Journal of Biological Chemistry, Immunity and The Journal of Immunology.

In The Last Decade

Steve Ruben

17 papers receiving 1.7k citations

Hit Papers

LIGHT, a New Member of the TNF Superfamily, and Lymphotox... 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Ruben United States 16 881 612 365 237 201 17 1.7k
Giuliana Papoff Italy 15 796 0.9× 1.1k 1.8× 274 0.8× 228 1.0× 204 1.0× 28 1.9k
Yojiro Kawabe Japan 22 898 1.0× 520 0.8× 247 0.7× 151 0.6× 181 0.9× 51 1.8k
Sachiko Suematsu Japan 18 1.6k 1.8× 782 1.3× 430 1.2× 276 1.2× 183 0.9× 31 2.6k
S Suematsu Japan 9 973 1.1× 633 1.0× 683 1.9× 155 0.7× 145 0.7× 14 1.9k
Martin Hafner Germany 13 786 0.9× 643 1.1× 203 0.6× 250 1.1× 119 0.6× 17 1.8k
Sylvie Hertig Switzerland 11 864 1.0× 851 1.4× 325 0.9× 233 1.0× 121 0.6× 11 1.6k
F W Ruscetti United States 17 982 1.1× 685 1.1× 475 1.3× 118 0.5× 116 0.6× 33 2.0k
E.-B. Bröcker Germany 22 905 1.0× 808 1.3× 915 2.5× 289 1.2× 152 0.8× 44 2.2k
Aaron J. Marshall Canada 30 1.3k 1.5× 1.1k 1.8× 372 1.0× 198 0.8× 138 0.7× 86 2.5k
Marie‐Laure Santiago‐Raber Switzerland 26 1.5k 1.7× 475 0.8× 352 1.0× 175 0.7× 124 0.6× 46 2.1k

Countries citing papers authored by Steve Ruben

Since Specialization
Citations

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

Fields of papers citing papers by Steve Ruben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Ruben

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

All Works

17 of 17 papers shown
1.
Mesri, Mehdi, Jenny L. Heidbrink, William W. Fitzhugh, et al.. (2013). Identification and Characterization of Angiogenesis Targets through Proteomic Profiling of Endothelial Cells in Human Cancer Tissues. PLoS ONE. 8(11). e78885–e78885. 35 indexed citations
2.
Edwards, Bryan, Steven Barash, Sarah Main, et al.. (2003). The Remarkable Flexibility of the Human Antibody Repertoire; Isolation of Over One Thousand Different Antibodies to a Single Protein, BLyS. Journal of Molecular Biology. 334(1). 103–118. 78 indexed citations
3.
Wei, Ping, Yunge Zhao, Li Zhuang, et al.. (2002). Protein engineering and properties of human metalloproteinase and thrombospondin 1. Biochemical and Biophysical Research Communications. 293(1). 478–488. 10 indexed citations
4.
Barber, Thomas D., et al.. (2002). Identification of Target Genes Regulated by PAX3 and PAX3–FKHR in Embryogenesis and Alveolar Rhabdomyosarcoma. Genomics. 79(3). 278–284. 56 indexed citations
5.
Wei, Ping, Yunge Zhao, Li Zhuang, Steve Ruben, & Qing‐Xiang Amy Sang. (2001). Expression and Enzymatic Activity of Human Disintegrin and Metalloproteinase ADAM19/Meltrin Beta. Biochemical and Biophysical Research Communications. 280(3). 744–755. 43 indexed citations
6.
Giovarelli, Mirella, Paola Cappello, Guido Forni, et al.. (2000). Tumor Rejection and Immune Memory Elicited by Locally Released LEC Chemokine Are Associated with an Impressive Recruitment of APCs, Lymphocytes, and Granulocytes. The Journal of Immunology. 164(6). 3200–3206. 73 indexed citations
7.
Shi, Yanggu, Stephen J. Ullrich, Jun Zhang, et al.. (2000). A Novel Cytokine Receptor-Ligand Pair. Journal of Biological Chemistry. 275(25). 19167–19176. 186 indexed citations
8.
Xia, Yuping, Yanan Zhao, Jeffrey R. Marcus, et al.. (1999). Effects of keratinocyte growth factor-2 (KGF-2) on wound healing in an ischaemia-impaired rabbit ear model and on scar formation. The Journal of Pathology. 188(4). 431–438. 97 indexed citations
9.
Shi, Ye, et al.. (1999). Computational EST Database Analysis Identifies a Novel Member of the Neuropoietic Cytokine Family. Biochemical and Biophysical Research Communications. 262(1). 132–138. 68 indexed citations
10.
Giovarelli, Mirella, Piero Musiani, Gianni Garotta, et al.. (1999). A “Stealth Effect”: Adenocarcinoma Cells Engineered to Express TRAIL Elude Tumor-Specific and Allogeneic T Cell Reactions. The Journal of Immunology. 163(9). 4886–4893. 46 indexed citations
11.
Haridas, Valsala, Anju Shrivastava, Jeffrey Su, et al.. (1999). VEGI, a new member of the TNF family activates Nuclear Factor-κB and c-Jun N-terminal kinase and modulates cell growth. Oncogene. 18(47). 6496–6504. 56 indexed citations
12.
Zhai, Yifan, Jian Ni, Jiamo Lu, et al.. (1999). VEGI, a novel cytokine of the tumor necrosis factor family, is an angiogenesis inhibitor that suppresses the growth of colon carcinomas in vivo. The FASEB Journal. 13(1). 181–189. 129 indexed citations
13.
Greene, J. M., Jonathan D. Gruber, Brenda K. Shell, et al.. (1998). Identification and characterization of a novel member of the fibroblast growth factor family. European Journal of Neuroscience. 10(5). 1911–1925. 37 indexed citations
14.
Mauri, Davide, Reinhard Ebner, Rebecca I. Montgomery, et al.. (1998). LIGHT, a New Member of the TNF Superfamily, and Lymphotoxin α Are Ligands for Herpesvirus Entry Mediator. Immunity. 8(1). 21–30. 665 indexed citations breakdown →
15.
Rankin, Julia, Kenneth Smith, Emmanuel Huguet, et al.. (1997). A novel human Wnt gene, WNT10B, maps to 12q13 and is expressed in human breast carcinomas. Oncogene. 14(10). 1249–1253. 75 indexed citations
16.
Parmelee, David C., Timothy A. Coleman, Kui Su, et al.. (1997). Cloning and Characterization of a Novel Human DNase. Biochemical and Biophysical Research Communications. 231(2). 499–504. 28 indexed citations
17.
Hastings, Gregg, et al.. (1997). A novel regulatory function of proteolytically cleaved VEGF‐2 for vascular endothelial and smooth muscle cells. The FASEB Journal. 11(6). 498–504. 21 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026