Robert E. Lewis

7.5k total citations
295 papers, 5.5k citations indexed

About

Robert E. Lewis is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Robert E. Lewis has authored 295 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 76 papers in Genetics and 52 papers in Immunology. Recurrent topics in Robert E. Lewis's work include Yersinia bacterium, plague, ectoparasites research (66 papers), Vector-borne infectious diseases (31 papers) and Immune Cell Function and Interaction (25 papers). Robert E. Lewis is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (66 papers), Vector-borne infectious diseases (31 papers) and Immune Cell Function and Interaction (25 papers). Robert E. Lewis collaborates with scholars based in United States, United Kingdom and Lebanon. Robert E. Lewis's co-authors include Julius M. Cruse, Robert L. Kortum, Oleg V. Chaika, M P Czech, Deanna J. Volle, Gina L. Razidlo, Smaroula Dilioglou, Kurt W. Fisher, Michael A. White and Andrew P. Bradford and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Robert E. Lewis

278 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert E. Lewis United States 39 2.5k 811 787 636 583 295 5.5k
Youichi Suzuki Japan 25 2.4k 0.9× 828 1.0× 1.2k 1.5× 336 0.5× 897 1.5× 78 5.9k
Horst Mossmann Germany 27 1.7k 0.7× 587 0.7× 1.5k 1.9× 219 0.3× 378 0.6× 62 4.6k
H.A. Erlich United States 26 2.3k 0.9× 1.8k 2.2× 1.4k 1.8× 523 0.8× 297 0.5× 50 6.3k
Cory Teuscher United States 46 1.9k 0.7× 1.2k 1.5× 3.0k 3.8× 382 0.6× 745 1.3× 189 7.0k
Simon J. Foote Australia 44 2.5k 1.0× 1.4k 1.8× 1.1k 1.4× 193 0.3× 930 1.6× 143 7.7k
Keith Johnson United Kingdom 39 3.4k 1.3× 921 1.1× 1.3k 1.7× 417 0.7× 505 0.9× 151 6.8k
Yutaka Suzuki Japan 50 6.1k 2.4× 1.3k 1.6× 1.4k 1.8× 392 0.6× 745 1.3× 318 9.8k
Kenichi Takahashi Japan 35 1.4k 0.5× 236 0.3× 430 0.5× 698 1.1× 303 0.5× 156 4.5k
John L. VandeBerg United States 44 2.8k 1.1× 2.4k 3.0× 734 0.9× 825 1.3× 263 0.5× 330 7.8k
Dorothy French United States 44 6.1k 2.4× 629 0.8× 2.4k 3.0× 756 1.2× 1.5k 2.7× 76 9.1k

Countries citing papers authored by Robert E. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Lewis. 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 Robert E. Lewis. The network helps show where Robert E. Lewis may publish in the future.

Co-authorship network of co-authors of Robert E. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Robert E. Lewis. A scholar is included among the top collaborators of Robert E. Lewis 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 Robert E. Lewis. Robert E. Lewis 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.
Matthews, J. L., Clinton A. Oakley, Robert E. Lewis, et al.. (2025). The Influence of Symbiont Identity on the Proteomic and Metabolomic Responses of the Model Cnidarian Aiptasia to Thermal Stress. Environmental Microbiology. 27(3). e70073–e70073. 1 indexed citations
2.
Svoboda, Robert A., et al.. (2025). KSR1 Mediates Small Cell Lung Carcinoma Tumor Initiation and Cisplatin Resistance. Molecular Cancer Research. 23(6). 553–566. 2 indexed citations
3.
Askew, James W., et al.. (2023). SOS1 and KSR1 modulate MEK inhibitor responsiveness to target resistant cell populations based on PI3K and KRAS mutation status. Proceedings of the National Academy of Sciences. 120(47). e2313137120–e2313137120. 15 indexed citations
5.
Svoboda, Robert A., Jordan A. Berg, Dhananjay Shinde, et al.. (2022). PGC-1β and ERRα Promote Glutamine Metabolism and Colorectal Cancer Survival via Transcriptional Upregulation of PCK2. Cancers. 14(19). 4879–4879. 7 indexed citations
6.
Gomez, Gustavo A., Charles H. Rundle, Weirong Xing, et al.. (2022). Contrasting effects of Ksr2, an obesity gene, on trabecular bone volume and bone marrow adiposity. eLife. 11. 4 indexed citations
7.
Neilsen, Beth K., Binita Chakraborty, Suzie K. Hight, et al.. (2020). A Gene Expression High-Throughput Screen (GE-HTS) for Coordinated Detection of Functionally Similar Effectors in Cancer. Cancers. 12(11). 3143–3143. 7 indexed citations
8.
Neilsen, Beth K., et al.. (2018). WDR5 supports colon cancer cells by promoting methylation of H3K4 and suppressing DNA damage. BMC Cancer. 18(1). 673–673. 32 indexed citations
9.
Cruse, Julius M., et al.. (2009). Decreased TLR4 gene expression in leukemic leukocyte populations. Experimental and Molecular Pathology. 87(2). 117–126. 9 indexed citations
10.
Casar, Berta, Imanol Arozarena, Victoria Sanz‐Moreno, et al.. (2008). Ras Subcellular Localization Defines Extracellular Signal-Regulated Kinase 1 and 2 Substrate Specificity through Distinct Utilization of Scaffold Proteins. Molecular and Cellular Biology. 29(5). 1338–1353. 98 indexed citations
11.
Lewis, Robert E., et al.. (2007). Aberrant expression of T-cell markers in acute myeloid leukemia. Experimental and Molecular Pathology. 83(3). 462–463. 34 indexed citations
12.
Kortum, Robert L., et al.. (2006). The Molecular Scaffold Kinase Suppressor of Ras 1 Is a Modifier of Ras V12 -Induced and Replicative Senescence. Molecular and Cellular Biology. 26(6). 2202–2214. 41 indexed citations
13.
Agostini, Isabelle, Serguei Popov, Jian Hua Li, et al.. (2002). Phosphorylation of Vpr Regulates HIV Type 1 Nuclear Import and Macrophage Infection. AIDS Research and Human Retroviruses. 18(4). 283–288. 32 indexed citations
14.
Cruse, Julius M., et al.. (2000). Review of Immune Function, Healing of Pressure Ulcers, and Nutritional Status in Patients with Spinal Cord Injury. Journal of Spinal Cord Medicine. 23(2). 129–135. 68 indexed citations
15.
Cruse, Julius M. & Robert E. Lewis. (1992). Clinical and molecular aspects of autoimmune diseases.. 8. 4 indexed citations
16.
Cruse, Julius M. & Robert E. Lewis. (1986). Immunoregulation and autoimmunity. KARGER eBooks. 5 indexed citations
17.
Cruse, Julius M. & Robert E. Lewis. (1985). Autoimmunity : basis concepts : systemic and selected organ-specific diseases. KARGER eBooks. 1 indexed citations
18.
Rawlings, Clarence A., et al.. (1980). Response of the feline heart to Aelurostrongylus abstrusus.. Journal of the American Animal Hospital Association. 16. 573–578. 7 indexed citations
19.
Rawlings, Clarence A., Robert E. Lewis, & Jonathan Weir‐McCall. (1980). Development and resolution of pulmonary arteriographic lesions in heartworm disease.. Journal of the American Animal Hospital Association. 16(1). 17–21. 8 indexed citations
20.
Kneller, S. K., et al.. (1972). Arteriographic Anatomy of the Feline Abdomen. American Journal of Veterinary Research. 33(11). 2111–2119. 1 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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