Daniel Epstein

1.3k citations
24 papers · 920 · h-index 15

Impact in

Papers in

Daniel Epstein

24 papers receiving 886 citations

Peers

Daniel Epstein
Comparison fields: 5 of 117
  • Water Science and Technology 153
  • Cell Biology 141
  • Cellular and Molecular Neuroscience 150
  • Geochemistry and Petrology 39
  • Physiology 30
Replace Ånna Pettersson with:
Ånna Pettersson Sweden
J. M. Burke United States
Robert L. Morris United States
Michael P. Hughes United Kingdom
Elijah W. Stommel United States
KS Lee South Korea
Yanzhen Zhang China
August Yue Huang United States
He Chen China
Cai-Yun Deng China
Daniel Epstein relative to Ånna Pettersson Sweden Ånna Pettersson's profile →
Citations per field
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Ånna Pettersson · 1×
Citations per year

Countries citing papers authored by Daniel Epstein

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 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 Epstein more than expected).

Fields of papers citing papers by Daniel Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel 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 Epstein Line = papers co-authored together Daniel Epstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993154
2 1999146
3 200890
4 200984
5 201360
6 199658
7 201855
8 201443
9 201339
10 201637
11 201237
12 200929
13 199419
14 198117
15 200215
16 202213
17 20116
18 20094
19 19964
20 20143

About Daniel Epstein

Daniel Epstein is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Water Science and Technology and Global and Planetary Change, having authored 24 papers that have together received 920 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Hydrology and Watershed Management Studies (3 papers), Electoral Systems and Political Participation (2 papers), Climate variability and models (2 papers), Traumatic Brain Injury Research (2 papers), Political Conflict and Governance (2 papers), RNA Research and Splicing (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Water Science and Technology (153 citations), Cell Biology (141 citations), Cellular and Molecular Neuroscience (150 citations), Geochemistry and Petrology (39 citations) and Physiology (30 citations). Daniel Epstein has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Daphne G. Trasler, Piet Gros, Kyle Vogan, L.W. Vail, P. Robin Hiesinger, Jeffrey G. Arnold, Raghavan Srinivasan, David Wang, Norman J. Rosenberg and David B. Jaffe. Their work appears in journals such as The Journal of Cell Biology, Journal of Geophysical Research Atmospheres, Journal of Consulting and Clinical Psychology, Current Biology 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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