Michael Durnin

1.2k total citations
9 papers, 917 citations indexed

About

Michael Durnin is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Michael Durnin has authored 9 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Michael Durnin's work include Pluripotent Stem Cells Research (2 papers), Immune Response and Inflammation (2 papers) and Epigenetics and DNA Methylation (2 papers). Michael Durnin is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), Immune Response and Inflammation (2 papers) and Epigenetics and DNA Methylation (2 papers). Michael Durnin collaborates with scholars based in United States, China and India. Michael Durnin's co-authors include María E. Fuentes, Stacie A. Dalrymple, David V. Goeddel, Masato Tanaka, Toshihiro Yamaguchi, Praveen Suraneni, Dorit Hanein, Rong Li, Boris Rubinstein and Jay R. Unruh and has published in prestigious journals such as Journal of Neuroscience, The Journal of Cell Biology and Immunity.

In The Last Decade

Michael Durnin

8 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Durnin United States	8	425	423	324	216	159	9	917
Zhong Ma United States	15	664 1.6×	173 0.4×	689 2.1×	154 0.7×	135 0.8×	20	1.4k
Miki Nishio Japan	19	711 1.7×	140 0.3×	154 0.5×	419 1.9×	198 1.2×	34	1.1k
Nathan E. Grega‐Larson United States	12	795 1.9×	390 0.9×	110 0.3×	235 1.1×	74 0.5×	13	1.0k
Cristina Escrevente Portugal	12	798 1.9×	366 0.9×	203 0.6×	158 0.7×	47 0.3×	16	1.0k
Peter Truesdell Canada	18	363 0.9×	140 0.3×	178 0.5×	142 0.7×	352 2.2×	23	802
Mary Shen United States	10	578 1.4×	121 0.3×	187 0.6×	253 1.2×	103 0.6×	12	829
Patricia Chastagner France	17	753 1.8×	89 0.2×	319 1.0×	189 0.9×	176 1.1×	29	1.2k
Varun Chaudhary India	11	1.1k 2.5×	375 0.9×	120 0.4×	184 0.9×	54 0.3×	15	1.3k
Karoliina Vuoriluoto Finland	7	719 1.7×	168 0.4×	215 0.7×	526 2.4×	335 2.1×	7	1.3k
Jun-Lin Guan United States	8	660 1.6×	203 0.5×	272 0.8×	144 0.7×	565 3.6×	8	1.2k

Countries citing papers authored by Michael Durnin

Since Specialization

Citations

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

Fields of papers citing papers by Michael Durnin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Durnin

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Wang, Hui, Zhaoru Zhang, Penglei Jiang, et al.. (2025). SNORD113–114 cluster maintains haematopoietic stem cell self-renewal via orchestrating the translation machinery. Nature Cell Biology. 27(2). 246–261.

Tsuchiya, Dai, Timothy J. Corbin, Andrea Moran, et al.. (2023). SYCP1 head-to-head assembly is required for chromosome synapsis in mouse meiosis. Science Advances. 9(42). eadi1562–eadi1562. 12 indexed citations

Zhou, Yi, Qiang Hou, Dai Tsuchiya, et al.. (2021). NOTCH Signaling Controls Ciliary Body Morphogenesis and Secretion by Directly Regulating Nectin Protein Expression. Cell Reports. 34(2). 108603–108603. 7 indexed citations

Aoto, Kazushi, Linda J. Sandell, Naomi E. Butler Tjaden, et al.. (2015). Mef2c-F10N enhancer driven β-galactosidase (LacZ) and Cre recombinase mice facilitate analyses of gene function and lineage fate in neural crest cells. Developmental Biology. 402(1). 3–16. 27 indexed citations

Suraneni, Praveen, Boris Rubinstein, Jay R. Unruh, et al.. (2012). The Arp2/3 complex is required for lamellipodia extension and directional fibroblast cell migration. The Journal of Cell Biology. 197(2). 239–251. 254 indexed citations

Ma, Limei, et al.. (2010). Distinct Signals Conveyed by Pheromone Concentrations to the Mouse Vomeronasal Organ. Journal of Neuroscience. 30(22). 7473–7483. 34 indexed citations

Iulianella, Angelo, Madhulika Sharma, Michael Durnin, Gregory B. Vanden Heuvel, & Paul A. Trainor. (2008). Cux2(Cutl2) integrates neural progenitor development with cell-cycle progression during spinal cord neurogenesis. Development. 135(4). 729–741. 49 indexed citations

Tanaka, Masato, María E. Fuentes, Toshihiro Yamaguchi, et al.. (1999). Embryonic Lethality, Liver Degeneration, and Impaired NF-κB Activation in IKK-β-Deficient Mice. Immunity. 10(4). 421–429. 487 indexed citations

Cao, Zhijian, Masao Tanaka, Catherine H. Régnier, et al.. (1999). NF- B Activation by Tumor Necrosis Factor and Interleukin-1. Cold Spring Harbor Symposia on Quantitative Biology. 64(0). 473–484. 47 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