Michael Yamin

1.1k total citations
24 papers, 827 citations indexed

About

Michael Yamin is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Michael Yamin has authored 24 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Michael Yamin's work include Renal and related cancers (4 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Erythropoietin and Anemia Treatment (4 papers). Michael Yamin is often cited by papers focused on Renal and related cancers (4 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Erythropoietin and Anemia Treatment (4 papers). Michael Yamin collaborates with scholars based in United States, Japan and Türkiye. Michael Yamin's co-authors include Raymond M. Fuoss, Michael Brines, Anthony Cerami, Bruno Sepodes, Christoph Thiemermann, Serhat Erbayraktar, Nimesh S. A. Patel, Tiziana Mennini, Thomas R. Coleman and Zübeyde Erbayraktar and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Michael Yamin

22 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Yamin United States 13 224 178 170 115 113 24 827
Ermanna Rovida Italy 20 738 3.3× 71 0.4× 686 4.0× 14 0.1× 15 0.1× 47 1.5k
Klaus Klarskov Canada 20 19 0.1× 64 0.4× 537 3.2× 31 0.3× 16 0.1× 56 1.2k
Michel Boutin Canada 24 33 0.1× 89 0.5× 482 2.8× 49 0.4× 45 0.4× 72 1.7k
Javier Garcia Barriocanal United States 9 245 1.1× 97 0.5× 719 4.2× 9 0.1× 9 0.1× 12 1.3k
Jonathan A. Rose United States 13 32 0.1× 39 0.2× 309 1.8× 49 0.4× 10 0.1× 30 580
Takehiro Yamamoto Japan 18 27 0.1× 104 0.6× 960 5.6× 26 0.2× 9 0.1× 46 1.6k
María Victoria Aguirre Argentina 15 67 0.3× 32 0.2× 216 1.3× 6 0.1× 7 0.1× 42 602
Peng Xue China 21 19 0.1× 55 0.3× 835 4.9× 13 0.1× 15 0.1× 43 1.5k
Lulu Han China 24 26 0.1× 46 0.3× 702 4.1× 9 0.1× 16 0.1× 79 1.5k

Countries citing papers authored by Michael Yamin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Yamin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Yamin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Yamin. A scholar is included among the top collaborators of Michael Yamin 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 Michael Yamin. Michael Yamin 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.
Bromberg, Jonathan S., Matthew R. Weir, A. Osama Gaber, et al.. (2020). Renal Function Improvement Following ANG-3777 Treatment in Patients at High Risk for Delayed Graft Function After Kidney Transplantation. Transplantation. 105(2). 443–450. 14 indexed citations
2.
Huang, Brian, Bin Duan, Jingsong Li, et al.. (2018). A small molecule fibrokinase inhibitor in a model of fibropolycystic hepatorenal disease. World Journal of Nephrology. 7(5). 96–107. 1 indexed citations
3.
Duan, Bin, Jingsong Li, Ping Zhou, et al.. (2018). A modified elliptical formula to estimate kidney collagen content in a model of chronic kidney disease. PLoS ONE. 13(1). e0190815–e0190815. 4 indexed citations
4.
Zhu, Edward Y., Ping Zhou, Xiaoqing Liu, et al.. (2018). Supervised learning reveals circulating biomarker levels diagnostic of hepatocellular carcinoma in a clinically relevant model of non-alcoholic steatohepatitis; An OAD to NASH. PLoS ONE. 13(6). e0198937–e0198937. 15 indexed citations
5.
Li, David, Farha Naaz, Quaisar Ali, et al.. (2018). Deep Learning in Drug Discovery and Medicine; Scratching the Surface. Molecules. 23(9). 2384–2384. 83 indexed citations
6.
Paka, Latha, David E. Smith, Dawoon Jung, et al.. (2017). Anti-steatotic and anti-fibrotic effects of the KCa3.1 channel inhibitor, Senicapoc, in non-alcoholic liver disease. World Journal of Gastroenterology. 23(23). 4181–4181. 17 indexed citations
7.
8.
Duan, Bin, Kai Jiang, Jingsong Li, et al.. (2016). Late intervention with the small molecule BB3 mitigates postischemic kidney injury. American Journal of Physiology-Renal Physiology. 311(2). F352–F361. 14 indexed citations
9.
Huang, Brian, et al.. (2015). A Biomarker Cluster for Polycystic Kidney Disease: Correlation with Cystic Index. 5(1). 35–43. 3 indexed citations
10.
Ueba, Hiroto, Masashi Shiomi, Michael Brines, et al.. (2013). Suppression of Coronary Atherosclerosis by Helix B Surface Peptide, a Nonerythropoietic, Tissue-Protective Compound Derived from Erythropoietin. Molecular Medicine. 19(1). 195–202. 24 indexed citations
11.
Schmidt, Robert E., Dongyan Feng, Qiuling Wang, et al.. (2011). Effect of insulin and an erythropoietin-derived peptide (ARA290) on established neuritic dystrophy and neuronopathy in Akita (Ins2Akita) diabetic mouse sympathetic ganglia. Experimental Neurology. 232(2). 126–135. 24 indexed citations
12.
Ueba, Hiroto, Michael Brines, Michael Yamin, et al.. (2010). Cardioprotection by a nonerythropoietic, tissue-protective peptide mimicking the 3D structure of erythropoietin. Proceedings of the National Academy of Sciences. 107(32). 14357–14362. 48 indexed citations
13.
14.
Yamin, Michael. (1981). Cellulose Metabolism by the Flagellate Trichonympha from a Termite Is Independent of Endosymbiotic Bacteria. Science. 211(4477). 58–59. 81 indexed citations
15.
Yamin, Michael. (1980). Cellulose Metabolism by the Termite Flagellate Trichomitopsis termopsidis. Applied and Environmental Microbiology. 39(4). 859–863. 45 indexed citations
16.
Yamin, Michael. (1979). Scanning Electron Microscopy of Some Symbiotic Flagellates from the Termite Zootermopsis. Transactions of the American Microscopical Society. 98(2). 276–276. 3 indexed citations
17.
Yamin, Michael. (1978). Axenic Cultivation of the Cellulolytic Flagellate Trichomitopsis termopsidis (Cleveland) from the Termite Zootermopsis*. The Journal of Protozoology. 25(4). 535–538. 49 indexed citations
18.
Yamin, Michael, et al.. (1977). Arginine and urea biosynthesis in the lugworm, Arenicola cristata. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 57(3). 223–225. 3 indexed citations
19.
Yamin, Michael, et al.. (1958). The Flory constants for poly‐4‐vinylpyridine in ethanol. Journal of Polymer Science. 28(116). 69–82. 111 indexed citations
20.
Yamin, Michael & Raymond M. Fuoss. (1953). Ultraviolet Absorption Spectra of Some Pyridine Derivatives. Journal of the American Chemical Society. 75(19). 4860–4861. 10 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

Breakdown of academic impact, for papers by Ermanna Rovida Breakdown of academic impact, for papers by Klaus Klarskov Breakdown of academic impact, for papers by Michel Boutin Breakdown of academic impact, for papers by Javier Garcia Barriocanal Breakdown of academic impact, for papers by Jonathan A. Rose Breakdown of academic impact, for papers by Takehiro Yamamoto Breakdown of academic impact, for papers by María Victoria Aguirre Breakdown of academic impact, for papers by Peng Xue Breakdown of academic impact, for papers by Lulu Han
Rankless by CCL
2026