John T. Fleming

1.9k citations
30 papers · 1.1k · h-index 15

Impact in

Papers in

John T. Fleming

30 papers receiving 1.1k citations

Peers

John T. Fleming
Comparison fields: 5 of 109
  • Aging 425
  • Endocrine and Autonomic Systems 179
  • Small Animals 82
  • Cell Biology 168
  • Cellular and Molecular Neuroscience 144
Replace Sebastian I. Arriola Apelo with:
Sebastian I. Arriola Apelo United States
Chen‐Yu Liao United States
Simone Renner Germany
Andrew Davis United States
Eiichi Takaki Japan
János Barna Hungary
Thomas Laeger Germany
P L Larsen Denmark
Mark W. Pellegrino United States
Bruce E. Kimmel United States
John T. Fleming relative to Sebastian I. Arriola Apelo United States Sebastian I. Arriola Apelo's profile →
Citations per field
00.5×4.5×
Sebastian I. Arriola Apelo · 1×
Citations per year

Countries citing papers authored by John T. Fleming

Since Specialization
Citations

This map shows the geographic impact of John T. Fleming'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 John T. Fleming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Fleming more than expected).

Fields of papers citing papers by John T. Fleming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Fleming. 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 John T. Fleming. The network helps show where John T. Fleming may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997253
2 2004136
3 2004132
4 2011102
5 201374
6 199767
7 201249
8 199143
9 200543
10 198643
11 200641
12 199032
13 200428
14 201126
15 199318
16 199414
17 19968
18 20214
19 20213
20 19963

About John T. Fleming

John T. Fleming is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Aging and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Nitric Oxide and Endothelin Effects (6 papers), Renin-Angiotensin System Studies (3 papers), Circadian rhythm and melatonin (3 papers), Insect and Pesticide Research (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Renal Diseases and Glomerulopathies (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Aging (425 citations), Endocrine and Autonomic Systems (179 citations), Small Animals (82 citations), Cell Biology (168 citations) and Cellular and Molecular Neuroscience (144 citations). John T. Fleming has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Verena Göbel, David H. Hall, David B. Sattelle, Michael D. Squire, James A. Lewis, Liakot A. Khan, Hongjie Zhang, Joohong Ahnn, Andrew Fire and Thomas M. Barnes. Their work appears in journals such as Nature Cell Biology, Kidney International, BMJ, Nature Genetics and PLoS Medicine.

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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