Mark I. Talan

4.8k citations
101 papers · 3.6k · h-index 32

Impact in

Papers in

Mark I. Talan

98 papers receiving 3.4k citations

Peers

Mark I. Talan
Comparison fields: 5 of 124
  • Aging 195
  • Endocrine and Autonomic Systems 294
  • Physiology 974
  • Hematology 391
  • Cardiology and Cardiovascular Medicine 655
Replace Marcelo A. Mori with:
Marcelo A. Mori Brazil
Martin L. Adamo United States
Andrew C. Adams United States
Eric Bachman United States
Thomas J. Hawke Canada
Cristina Tonello Italy
Matthew J. Potthoff United States
Craig H. Warden United States
Robert Boushel Denmark
Akihiro Nakamura Japan
Mark I. Talan relative to Marcelo A. Mori Brazil Marcelo A. Mori's profile →
Citations per field
00.5×5.3×
Marcelo A. Mori · 1×
Citations per year

Countries citing papers authored by Mark I. Talan

Since Specialization
Citations

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

Fields of papers citing papers by Mark I. Talan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark I. Talan. 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 Mark I. Talan. The network helps show where Mark I. Talan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997326
2 2003261
3 1996235
4 2005191
5 2005151
6 2002135
7 2000110
8 2004104
9 2009103
10 201282
11 200676
12 200575
13 201173
14 201167
15 200462
16 200962
17 200862
18 200558
19 200552
20 201046

About Mark I. Talan

Mark I. Talan is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Rehabilitation and Hematology, having authored 101 papers that have together received 3.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (27 papers), Heart Rate Variability and Autonomic Control (14 papers), Thermoregulation and physiological responses (14 papers), Exercise and Physiological Responses (13 papers), Erythropoietin and Anemia Treatment (12 papers), Circadian rhythm and melatonin (10 papers), Cardiovascular and exercise physiology (8 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). The work is most often cited by research in Aging (195 citations), Endocrine and Autonomic Systems (294 citations), Physiology (974 citations), Hematology (391 citations) and Cardiology and Cardiovascular Medicine (655 citations). Mark I. Talan has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Edward G. Lakatta, Ismayil Ahmet, Bernard T. Engel, Melissa Krawczyk, Chanil Moon, Randy J. Nelson, Vladimir I. Chefer, Gregory E. Demas, Ruiqian Wan and Mark P. Mattson. Their work appears in journals such as Experimental Gerontology, Physiology & Behavior, Journal of Pharmacology and Experimental Therapeutics, Journal of Applied Physiology and Circulation.

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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