Daniel J. Epstein

1.3k citations
23 papers · 985 · h-index 16

Impact in

Papers in

Daniel J. Epstein

23 papers receiving 928 citations

Peers

Daniel J. Epstein
Comparison fields: 5 of 122
  • Water Science and Technology 166
  • Cell Biology 145
  • Cellular and Molecular Neuroscience 156
  • Geochemistry and Petrology 46
  • Physiology 31
Replace Xiangquan Li with:
Xiangquan Li China
Anna F. Pettersson Sweden
Claude M. Laberge Canada
Michael P. Hughes United Kingdom
J. M. Burke United States
Youjun Chen China
Steven J. Steinberg United States
Yi Ping Zhang United States
Patricia Green United States
KS Lee South Korea
Daniel J. Epstein relative to Xiangquan Li China Xiangquan Li's profile →
Citations per field
00.5×2×3.4×
Xiangquan Li · 1×
Citations per year

Countries citing papers authored by Daniel J. Epstein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel J. Epstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel J. Epstein Line = papers co-authored together Daniel J. Epstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999167
2 1993159
3 200896
4 200985
5 199663
6 201360
7 201855
8 201448
9 201346
10 201640
11 201238
12 200932
13 199419
14 200219
15 202217
16 198117
17 20117
18 20095
19 19964
20 20143

About Daniel J. Epstein

Daniel J. Epstein is a scholar working on Cell Biology, Water Science and Technology, Global and Planetary Change, Cellular and Molecular Neuroscience and Molecular Biology, having authored 23 papers that have together received 985 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Hydrology and Watershed Management Studies (3 papers), Lipid Membrane Structure and Behavior (2 papers), Political Conflict and Governance (2 papers), Electoral Systems and Political Participation (2 papers), Cryospheric studies and observations (2 papers), Traumatic Brain Injury Research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Water Science and Technology (166 citations), Cell Biology (145 citations), Cellular and Molecular Neuroscience (156 citations), Geochemistry and Petrology (46 citations) and Physiology (31 citations). Daniel J. Epstein has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Lance W. Vail, Kyle J. Vogan, Daphne G. Trasler, Piet Gros, Jeffrey G. Arnold, Raghavan Srinivasan, Norman J. Rosenberg, David Wang, Peter Robin Hiesinger and Giorgio A. Ascoli. Their work appears in journals such as The Journal of Cell Biology, Biological Psychiatry, Frontiers in Psychiatry, Brain and Behavior and Party Politics.

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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