Daniel M. Johnson

3.7k citations
89 papers · 2.3k · h-index 27

Impact in

Papers in

Daniel M. Johnson

86 papers receiving 2.0k citations

Peers

Daniel M. Johnson
Comparison fields: 5 of 137
  • Nature and Landscape Conservation 732
  • Ecological Modeling 166
  • Ecology 801
  • Cardiology and Cardiovascular Medicine 518
  • Environmental Chemistry 229
Replace Wolfgang Schütz with:
Wolfgang Schütz Austria
James R. Stewart United States
Anders P. Tøttrup Denmark
Grant B. McClelland Canada
Anthony J. Hickey New Zealand
Jonathan Witt Canada
Christopher D. Moyes Canada
T. Rand Austria
Michael Frisk United States
Stephen C. Wood United States
Daniel M. Johnson relative to Wolfgang Schütz Austria Wolfgang Schütz's profile →
Citations per field
00.5×5.7×
Wolfgang Schütz · 1×
Citations per year

Countries citing papers authored by Daniel M. Johnson

Since Specialization
Citations

This map shows the geographic impact of Daniel M. Johnson'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. Johnson 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. Johnson more than expected).

Fields of papers citing papers by Daniel M. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979152
2 1991140
3 1975126
4 1985122
5 200986
6 198585
7 201278
8 198774
9 201373
10 198768
11 198267
12 200967
13 199065
14 201850
15 199247
16 201747
17 201847
18 201842
19 198237
20 197335

About Daniel M. Johnson

Daniel M. Johnson is a scholar working on Cardiology and Cardiovascular Medicine, Ecology, Nature and Landscape Conservation, Molecular Biology and Surgery, having authored 89 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (19 papers), Fish Ecology and Management Studies (14 papers), Freshwater macroinvertebrate diversity and ecology (14 papers), Ion channel regulation and function (10 papers), Aquatic Ecosystems and Phytoplankton Dynamics (7 papers), Aquatic Invertebrate Ecology and Behavior (7 papers), Mechanical Circulatory Support Devices (6 papers) and Ecology and Vegetation Dynamics Studies (5 papers). The work is most often cited by research in Nature and Landscape Conservation (732 citations), Ecological Modeling (166 citations), Ecology (801 citations), Cardiology and Cardiovascular Medicine (518 citations) and Environmental Chemistry (229 citations). Daniel M. Johnson has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Philip H. Crowley, Clay L. Pierce, Thomas H. Martin, Paul G.A. Volders, Jordi Heijman, Gudrun Antoons, Sandro Gelsomino, Najah Abi‐Gerges, Orlando Parise and Roberto Lorusso. Their work appears in journals such as Ecology, Oecologia, Journal of Clinical Oncology, Journal of Molecular and Cellular Cardiology and Cardiovascular 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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