Daniel M. Cohen

290 total papers · 10.2k total citations
202 papers, 4.9k citations indexed

About

Daniel M. Cohen is a scholar working on Epidemiology, Nature and Landscape Conservation and Surgery. According to data from OpenAlex, Daniel M. Cohen has authored 202 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Epidemiology, 42 papers in Nature and Landscape Conservation and 36 papers in Surgery. Recurrent topics in Daniel M. Cohen's work include Fish Biology and Ecology Studies (34 papers), Ichthyology and Marine Biology (31 papers) and Respiratory viral infections research (14 papers). Daniel M. Cohen is often cited by papers focused on Fish Biology and Ecology Studies (34 papers), Ichthyology and Marine Biology (31 papers) and Respiratory viral infections research (14 papers). Daniel M. Cohen collaborates with scholars based in United States, Canada and Israel. Daniel M. Cohen's co-authors include R. Mussa, Clark Hubbs, Steven L. Richardson, M. P. Fahay, Arthur W. Kendall, William J. Richards, Tomio Iwamoto, Nadia El‐Hage Scialabba, T. Inada and Steven Strausbaugh and has published in prestigious journals such as Nature, Science and Circulation.

In The Last Decade

Daniel M. Cohen

194 papers receiving 4.5k citations

Hit Papers

Ontogeny and Systematics ... 1985 2026 1998 2012 1985 2016 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel M. Cohen 1.4k 1.1k 881 798 649 202 4.9k
Ian Bradbury 1.7k 1.2× 433 0.4× 1.3k 1.5× 380 0.5× 1.5k 2.3× 230 8.2k
James W. Orr 600 0.4× 581 0.5× 362 0.4× 224 0.3× 316 0.5× 159 3.8k
Antonio Fernández 332 0.2× 603 0.6× 306 0.3× 691 0.9× 2.2k 3.4× 321 5.7k
Andrew M. Kramer 567 0.4× 950 0.9× 394 0.4× 56 0.1× 1.0k 1.6× 132 6.1k
Per Fauchald 712 0.5× 1.4k 1.3× 1.3k 1.4× 52 0.1× 3.0k 4.6× 241 9.4k
Gregory Wilson 468 0.3× 336 0.3× 269 0.3× 61 0.1× 1.1k 1.8× 117 4.9k
Jan‐Åke Nilsson 1.1k 0.8× 431 0.4× 608 0.7× 111 0.1× 4.6k 7.2× 216 9.0k
Debra L. Miller 832 0.6× 950 0.9× 1.5k 1.7× 85 0.1× 661 1.0× 258 7.8k
Jan C.M. Hendriks 272 0.2× 775 0.7× 171 0.2× 60 0.1× 480 0.7× 175 7.0k
Michael R. Spence 348 0.2× 433 0.4× 732 0.8× 234 0.3× 710 1.1× 112 3.0k

Countries citing papers authored by Daniel M. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Cohen

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

All Works

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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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