Richard H. Gomer

9.2k total citations
201 papers, 7.3k citations indexed

About

Richard H. Gomer is a scholar working on Cell Biology, Molecular Biology and Immunology. According to data from OpenAlex, Richard H. Gomer has authored 201 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Cell Biology, 76 papers in Molecular Biology and 28 papers in Immunology. Recurrent topics in Richard H. Gomer's work include Cellular Mechanics and Interactions (73 papers), Microtubule and mitosis dynamics (31 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (22 papers). Richard H. Gomer is often cited by papers focused on Cellular Mechanics and Interactions (73 papers), Microtubule and mitosis dynamics (31 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (22 papers). Richard H. Gomer collaborates with scholars based in United States, United Kingdom and Netherlands. Richard H. Gomer's co-authors include Darrell Pilling, Richard Firtel, Debra A. Brock, Nehemiah Cox, Varsha Vakil, Ita S. Yuen, Elias Lazarides, Wonhee Jang, Christophe Reymond and Bhavika Kaul and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Richard H. Gomer

196 papers receiving 7.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard H. Gomer United States	45	2.8k	2.6k	1.0k	980	693	201	7.3k
Katherine Luby‐Phelps United States	47	5.1k 1.8×	2.5k 0.9×	1.1k 1.1×	926 0.9×	935 1.3×	92	10.2k
Keigi Fujiwara United States	46	4.3k 1.5×	3.0k 1.1×	906 0.9×	566 0.6×	455 0.7×	118	8.0k
Simon J. Atkinson United States	37	2.4k 0.8×	1.4k 0.5×	1.3k 1.2×	382 0.4×	299 0.4×	73	5.5k
Dolores Di Vizio United States	50	8.8k 3.1×	1.8k 0.7×	1.1k 1.1×	1.3k 1.3×	928 1.3×	121	11.9k
Mattias Belting Sweden	44	5.6k 2.0×	1.1k 0.4×	970 1.0×	322 0.3×	484 0.7×	124	7.8k
Paul M.P. van Bergen en Henegouwen Netherlands	59	6.1k 2.1×	1.5k 0.6×	1.5k 1.5×	696 0.7×	1.1k 1.6×	155	10.2k
Κωνσταντίνος Κωνσταντόπουλος United States	54	3.6k 1.3×	3.4k 1.3×	1.0k 1.0×	942 1.0×	2.2k 3.2×	188	9.9k
Peter W. Gunning Australia	61	9.4k 3.3×	4.5k 1.7×	1.2k 1.2×	492 0.5×	433 0.6×	240	15.0k
Clayton A. Buck United States	36	5.5k 1.9×	2.4k 0.9×	1.9k 1.9×	599 0.6×	379 0.5×	59	10.8k
Rick A. Rogers United States	46	2.2k 0.8×	774 0.3×	1.3k 1.3×	778 0.8×	279 0.4×	110	6.3k

Countries citing papers authored by Richard H. Gomer

Since Specialization

Citations

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

Fields of papers citing papers by Richard H. Gomer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard H. Gomer. 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 Richard H. Gomer. The network helps show where Richard H. Gomer may publish in the future.

Co-authorship network of co-authors of Richard H. Gomer

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

All Works

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20 of 20 papers shown

Pilling, Darrell, et al.. (2025). Differences Between Unstimulated and Stimulated Human Male and Female Neutrophils in Protein and Phosphoprotein Profiles. PROTEOMICS. 25(7). e202400232–e202400232. 1 indexed citations

Gomer, Richard H., et al.. (2023). A phosphatidylinositol phosphate kinase inhibits Ras activation and regulates chemorepulsion in Dictyostelium discoideum. Journal of Cell Science. 136(14). 1 indexed citations

Gomer, Richard H., et al.. (2023). Starvation Induces Extracellular Accumulation of Polyphosphate in Dictyostelium discoideum to Inhibit Macropinocytosis, Phagocytosis, and Exocytosis. International Journal of Molecular Sciences. 24(6). 5923–5923. 1 indexed citations

Chen, Wensheng, Darrell Pilling, & Richard H. Gomer. (2023). The mRNA-binding protein DDX3 mediates TGF-β1 upregulation of translation and promotes pulmonary fibrosis. JCI Insight. 8(7). 9 indexed citations

Gomer, Richard H., et al.. (2022). Dictyostelium discoideum cells retain nutrients when the cells are about to outgrow their food source. Journal of Cell Science. 135(18). 6 indexed citations

Ramchurn, Sarvapali D., et al.. (2021). The future of connected and automated mobility in the UK: call for evidence. ePrints Soton (University of Southampton). 1 indexed citations

Pilling, Darrell, et al.. (2020). High-Fat Diet–Induced Adipose Tissue and Liver Inflammation and Steatosis in Mice Are Reduced by Inhibiting Sialidases. American Journal Of Pathology. 191(1). 131–143. 30 indexed citations

Chen, Wensheng, et al.. (2017). Extracellular polyphosphate signals through Ras and Akt to prime Dictyostelium discoideum cells for development. Journal of Cell Science. 130(14). 2394–2404. 33 indexed citations

Herzog, Erica L., et al.. (2011). Pirfenidone treatment of idiopathic pulmonary fibrosis. SHILAP Revista de lepidopterología. 6 indexed citations

10.

Huang, Eryong, et al.. (2011). The Putative bZIP Transcripton Factor BzpN Slows Proliferation and Functions in the Regulation of Cell Density by Autocrine Signals in Dictyostelium. PLoS ONE. 6(7). e21765–e21765. 12 indexed citations

11.

Pilling, Darrell, et al.. (2010). Toll-like receptor 2 agonists inhibit human fibrocyte differentiation. PubMed. 3(1). 23–23. 26 indexed citations

12.

Bakthavatsalam, Deenadayalan, Derrick Brazill, Richard H. Gomer, et al.. (2007). A G Protein-Coupled Receptor with a Lipid Kinase Domain Is Involved in Cell-Density Sensing. Current Biology. 17(10). 892–897. 18 indexed citations

13.

Pilling, Darrell, et al.. (2007). Reduction of Bleomycin-Induced Pulmonary Fibrosis by Serum Amyloid P. The Journal of Immunology. 179(6). 4035–4044. 192 indexed citations

14.

Gao, Tong, et al.. (2005). A Cysteine-Rich Extracellular Protein Containing a PA14 Domain Mediates Quorum Sensing in Dictyostelium discoideum. Eukaryotic Cell. 4(6). 991–998. 20 indexed citations

15.

Ehrenman, Karen, Tong Gao, Wonhee Jang, et al.. (2004). Disruption of Aldehyde Reductase Increases Group Size in Dictyostelium. Journal of Biological Chemistry. 279(2). 837–847. 17 indexed citations

16.

Correa, Alejandro, et al.. (2003). Multiple oscillators regulate circadian gene expression in Neurospora. Proceedings of the National Academy of Sciences. 100(23). 13597–13602. 118 indexed citations

17.

Pilling, Darrell, Christopher D. Buckley, Mike Salmon, & Richard H. Gomer. (2003). Inhibition of Fibrocyte Differentiation by Serum Amyloid P. The Journal of Immunology. 171(10). 5537–5546. 244 indexed citations

18.

Gomer, Richard H.. (1999). Gene Identification by Shotgun Antisense. Methods. 18(3). 311–315. 4 indexed citations

19.

Deery, William J. & Richard H. Gomer. (1999). A Putative Receptor Mediating Cell-density Sensing inDictyostelium. Journal of Biological Chemistry. 274(48). 34476–34482. 24 indexed citations

20.

Gomer, Richard H. & Robin R. Ammann. (1996). A Cell-Cycle Phase-Associated Cell-Type Choice Mechanism Monitors the Cell Cycle Rather Than Using an Independent Timer. Developmental Biology. 174(1). 82–91. 26 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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