Daniel M. Johnson

3.6k citations
88 papers · 2.2k · h-index 27

Impact in

Papers in

Daniel M. Johnson

84 papers receiving 1.9k citations

Peers

Daniel M. Johnson
Comparison fields: 5 of 140
  • Nature and Landscape Conservation 693
  • Ecological Modeling 154
  • Ecology 754
  • Cardiology and Cardiovascular Medicine 552
  • Environmental Chemistry 215
Replace Peter B. Frappell with:
Peter B. Frappell Australia
James R. Stewart United States
Wolfgang Schütz Austria
Anders P. Tøttrup Denmark
Grant B. McClelland Canada
Jiashou Liu China
Anthony J. Hickey New Zealand
Bodil Schmidt‐Nielsen United States
T. Rand Austria
Reijo Käkelä Finland
Daniel M. Johnson relative to Peter B. Frappell Australia Peter B. Frappell's profile →
Citations per field
00.5×9.0×
Peter B. Frappell · 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 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979143
2 1991134
3 1975123
4 1985119
5 200982
6 198581
7 201274
8 198770
9 201369
10 198766
11 198264
12 200963
13 199058
14 201847
15 201845
16 199244
17 201743
18 201840
19 198235
20 197335

About Daniel M. Johnson

Daniel M. Johnson is a scholar working on Cardiology and Cardiovascular Medicine, Ecology, Surgery, Molecular Biology and Nature and Landscape Conservation, having authored 88 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (20 papers), Ion channel regulation and function (15 papers), Fish Ecology and Management Studies (14 papers), Freshwater macroinvertebrate diversity and ecology (14 papers), Cardiac Structural Anomalies and Repair (9 papers), Aquatic Ecosystems and Phytoplankton Dynamics (7 papers), Aquatic Invertebrate Ecology and Behavior (7 papers) and Mechanical Circulatory Support Devices (6 papers). The work is most often cited by research in Nature and Landscape Conservation (693 citations), Ecological Modeling (154 citations), Ecology (754 citations), Cardiology and Cardiovascular Medicine (552 citations) and Environmental Chemistry (215 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, Journal of Molecular and Cellular Cardiology, Oecologia, Journal of Clinical Oncology 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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