Daniel P. Kohen

84 total papers · 996 total citations
34 papers, 509 citations indexed

About

Daniel P. Kohen is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health. According to data from OpenAlex, Daniel P. Kohen has authored 34 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 11 papers in Pediatrics, Perinatology and Child Health and 11 papers in Psychiatry and Mental health. Recurrent topics in Daniel P. Kohen's work include Pain Management and Placebo Effect (21 papers), Pediatric Pain Management Techniques (10 papers) and Childhood Cancer Survivors' Quality of Life (4 papers). Daniel P. Kohen is often cited by papers focused on Pain Management and Placebo Effect (21 papers), Pediatric Pain Management Techniques (10 papers) and Childhood Cancer Survivors' Quality of Life (4 papers). Daniel P. Kohen collaborates with scholars based in United States and United Kingdom. Daniel P. Kohen's co-authors include Karen Olness, Pamela Kaiser, Donald L. Uden, Timothy Culbert, Gerald M. Rosen, Mark W. Mahowald, Andrew J. Barnes, Stefan J. Friedrichsdorf, Daniel L. Coury and Richard M. Sarles and has published in prestigious journals such as PEDIATRICS, The Journal of Pediatrics and Annals of Emergency Medicine.

In The Last Decade

Daniel P. Kohen

33 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel P. Kohen 241 182 118 115 62 34 509
Sylvie Lafrenaye 99 0.4× 184 1.0× 65 0.6× 120 1.0× 174 2.8× 26 617
Amandine Dubois 107 0.4× 201 1.1× 56 0.5× 111 1.0× 56 0.9× 18 470
Zoltán Kekecs 290 1.2× 88 0.5× 105 0.9× 64 0.6× 38 0.6× 43 586
Tomonori Adachi 272 1.1× 59 0.3× 71 0.6× 107 0.9× 84 1.4× 29 614
Kelly Brown 76 0.3× 138 0.8× 97 0.8× 98 0.9× 27 0.4× 21 597
Timothy Culbert 166 0.7× 103 0.6× 133 1.1× 212 1.8× 21 0.3× 19 605
Jens Keßler 102 0.4× 65 0.4× 87 0.7× 76 0.7× 26 0.4× 38 540
Samantha Fashler 107 0.4× 99 0.5× 125 1.1× 118 1.0× 40 0.6× 15 478
Hamid Hekmat 208 0.9× 80 0.4× 220 1.9× 95 0.8× 86 1.4× 35 606
Marco D. Gulewitsch 147 0.6× 149 0.8× 117 1.0× 139 1.2× 39 0.6× 25 536

Countries citing papers authored by Daniel P. Kohen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Kohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel P. Kohen

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Kohen. A scholar is included among the top collaborators of Daniel P. Kohen 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 P. Kohen. Daniel P. Kohen 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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