Brian M. Egan

529 total citations
10 papers, 335 citations indexed

About

Brian M. Egan is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Brian M. Egan has authored 10 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aging, 6 papers in Endocrine and Autonomic Systems and 2 papers in Molecular Biology. Recurrent topics in Brian M. Egan's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Circadian rhythm and melatonin (6 papers) and Cancer-related molecular mechanisms research (2 papers). Brian M. Egan is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), Circadian rhythm and melatonin (6 papers) and Cancer-related molecular mechanisms research (2 papers). Brian M. Egan collaborates with scholars based in United States and Philippines. Brian M. Egan's co-authors include Jinxi Wang, Yi Feng, Kerry Kornfeld, Zuzana Kocsisova, Franziska Pohl, Andrea Scharf, Daniel L. Schneider, John T. Murphy, Abhinav Diwan and Mingcai Zhang and has published in prestigious journals such as Development, Genetics and Developmental Cell.

In The Last Decade

Brian M. Egan

9 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian M. Egan United States	8	123	117	111	84	63	10	335
Priya Makhijani Canada	6	20 0.2×	11 0.1×	85 0.8×	8 0.1×	7 0.1×	8	260
Alan Kuo United States	6	18 0.1×	7 0.1×	79 0.7×	25 0.3×	11 0.2×	7	276
Kyeong‐Min Kim South Korea	10	6 0.0×	11 0.1×	161 1.5×	21 0.3×	14 0.2×	23	332
Huansheng Dong China	11	5 0.0×	27 0.2×	298 2.7×	57 0.7×	6 0.1×	19	600
Giuseppe Garroni Italy	12	8 0.1×	15 0.1×	117 1.1×	11 0.1×	6 0.1×	23	284
Joseph D. McMillan United States	10	14 0.1×	6 0.1×	255 2.3×	13 0.2×	18 0.3×	12	401
Tingqing Guo United States	9	14 0.1×	6 0.1×	389 3.5×	15 0.2×	14 0.2×	10	573
S. Tavadia United Kingdom	11	8 0.1×	13 0.1×	126 1.1×	9 0.1×	10 0.2×	12	332
Christian S. Carl Denmark	8	6 0.0×	8 0.1×	173 1.6×	12 0.1×	91 1.4×	15	448
Nisha D’Mello Canada	7	132 1.1×	5 0.0×	232 2.1×	9 0.1×	7 0.1×	9	338

Countries citing papers authored by Brian M. Egan

Since Specialization

Citations

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

Fields of papers citing papers by Brian M. Egan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Egan. 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 Brian M. Egan. The network helps show where Brian M. Egan may publish in the future.

Co-authorship network of co-authors of Brian M. Egan

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

All Works

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10 of 10 papers shown

Kocsisova, Zuzana, Brian M. Egan, Matthew C. Mosley, et al.. (2025). Notch signaling in germ line stem cells controls reproductive aging in Caenorhabditis elegans. PNAS Nexus. 4(8). pgaf220–pgaf220. 1 indexed citations

Pohl, Franziska, et al.. (2025). Environmental NaCl affects Caenorhabditis elegans development and aging. Genetics. 231(2).

Egan, Brian M., Franziska Pohl, Patrick J. Hunt, et al.. (2024). The ACE inhibitor captopril inhibits ACN-1 to control dauer formation and aging. Development. 151(3). 8 indexed citations

Egan, Brian M., Andrea Scharf, Franziska Pohl, & Kerry Kornfeld. (2022). Control of aging by the renin–angiotensin system: a review of C. elegans, Drosophila, and mammals. Frontiers in Pharmacology. 13. 938650–938650. 12 indexed citations

Scharf, Andrea, Franziska Pohl, Brian M. Egan, Zuzana Kocsisova, & Kerry Kornfeld. (2021). Reproductive Aging in Caenorhabditis elegans: From Molecules to Ecology. Frontiers in Cell and Developmental Biology. 9. 718522–718522. 45 indexed citations

Murphy, John T., Haiyan Liu, Xiucui Ma, et al.. (2019). Simple nutrients bypass the requirement for HLH-30 in coupling lysosomal nutrient sensing to survival. PLoS Biology. 17(5). e3000245–e3000245. 11 indexed citations

Egan, Brian M., Zuzana Kocsisova, Daniel L. Schneider, et al.. (2019). Lifespan Extension in C. elegans Caused by Bacterial Colonization of the Intestine and Subsequent Activation of an Innate Immune Response. Developmental Cell. 49(1). 100–117.e6. 82 indexed citations

Lu, Qinghua, et al.. (2016). Epigenetically mediated spontaneous reduction of NFAT1 expression causes imbalanced metabolic activities of articular chondrocytes in aged mice. Osteoarthritis and Cartilage. 24(7). 1274–1283. 21 indexed citations

Feng, Yi, Brian M. Egan, & Jinxi Wang. (2016). Genetic factors in intervertebral disc degeneration. Genes & Diseases. 3(3). 178–185. 130 indexed citations

10.

Zhang, Mingcai, Brian M. Egan, & Jinxi Wang. (2015). Epigenetic mechanisms underlying the aberrant catabolic and anabolic activities of osteoarthritic chondrocytes. The International Journal of Biochemistry & Cell Biology. 67. 101–109. 25 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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