Daniel K. Kimura

1.3k citations
40 papers · 1.1k · h-index 20

Impact in

Papers in

Daniel K. Kimura

40 papers receiving 896 citations

Peers

Daniel K. Kimura
Comparison fields: 5 of 82
  • Nature and Landscape Conservation 618
  • Global and Planetary Change 875
  • Aquatic Science 219
  • Ecology 375
  • Statistics and Probability 40
Replace Bruce Hartill with:
Bruce Hartill New Zealand
Kevin R. Piner United States
Michael H. Prager United States
Michael Pennington Norway
Juan L. Valero United States
G. A. Chouinard Canada
Thomas E. Helser United States
Robert J. Fryer United Kingdom
Dana H. Hanselman United States
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Daniel K. Kimura relative to Bruce Hartill New Zealand Bruce Hartill's profile →
Citations per field
00.5×2.6×
Bruce Hartill · 1×
Citations per year

Countries citing papers authored by Daniel K. Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Daniel K. Kimura, 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 K. Kimura Line = papers co-authored together Daniel K. Kimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977104
2 198191
3 200686
4 198465
5 200863
6 198758
7 198250
8 199042
9 200541
10 200831
11 200630
12
Age determination manual of the Alaska Fisheries Science Center Age and Growth Program
201230
13 199329
14 200029
15 197927
16 198922
17 200722
18 198820
19 199019
20 199219

About Daniel K. Kimura

Daniel K. Kimura is a scholar working on Global and Planetary Change, Nature and Landscape Conservation, Ecology, Aquatic Science and Statistics and Probability, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Marine and fisheries research (26 papers), Fish Ecology and Management Studies (17 papers), Fish Biology and Ecology Studies (8 papers), Marine Bivalve and Aquaculture Studies (8 papers), Isotope Analysis in Ecology (6 papers), Advanced Statistical Methods and Models (4 papers), Marine animal studies overview (2 papers) and Economic and Environmental Valuation (2 papers). The work is most often cited by research in Nature and Landscape Conservation (618 citations), Global and Planetary Change (875 citations), Aquatic Science (219 citations), Ecology (375 citations) and Statistics and Probability (40 citations). Daniel K. Kimura has collaborated with scholars based in United States and Russia. Frequent co-authors include Craig R. Kastelle, David A. Somerton, Mary Elizabeth Matta, Donald R. Gunderson, Sarah Gaichas, A. Nevissi, Jacob L. Gregg, Han-Lin Lai, Kim E. W. Shelden and Gary E. Walters. Their work appears in journals such as Canadian Journal of Fisheries and Aquatic Sciences, ICES Journal of Marine Science, Biometrics, Systematic Biology and Fisheries Research.

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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