Jason L. Hellmann

3.1k citations
35 papers · 2.6k · h-index 26

Impact in

Papers in

Jason L. Hellmann

33 papers receiving 2.6k citations

Peers

Jason L. Hellmann
Comparison fields: 5 of 95
  • Nutrition and Dietetics 866
  • Aging 72
  • Rehabilitation 156
  • Immunology 279
  • Physiology 361
Replace Ben J. Wu with:
Ben J. Wu Australia
Brian E. Sansbury United States
Anne Galinier France
Olivia Osborn United States
WuQiang Fan United States
Bhagirath Chaurasia United States
Paul R. Langlais United States
Guillermo Zalba Spain
Matthew D. Lynes United States
Isao Usui Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jason L. Hellmann

Since Specialization
Citations

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

Fields of papers citing papers by Jason L. Hellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason L. Hellmann. 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 Jason L. Hellmann. The network helps show where Jason L. Hellmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016363
2 2011258
3 2012179
4 2014176
5 2011151
6 2014138
7 2012131
8 2010126
9 201696
10 200594
11 200979
12 201578
13 201476
14 201374
15 201873
16 201164
17 201562
18 201650
19 201349
20 201446

About Jason L. Hellmann

Jason L. Hellmann is a scholar working on Nutrition and Dietetics, Rehabilitation, Epidemiology, Aging and Pharmacology, having authored 35 papers that have together received 2.6k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (13 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Inflammatory mediators and NSAID effects (3 papers), Adipose Tissue and Metabolism (3 papers), Cardiovascular and exercise physiology (2 papers), Exercise and Physiological Responses (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Nutrition and Dietetics (866 citations), Aging (72 citations), Rehabilitation (156 citations), Immunology (279 citations) and Physiology (361 citations). Jason L. Hellmann has collaborated with scholars based in United States and Germany. Frequent co-authors include Matthew R. Spite, Aruni Bhatnagar, Yunan Tang, Michael J. Zhang, Ira A. Tabas, Gabrielle Fredman, Daniel J. Conklin, Brian E. Sansbury, Bradford G. Hill and Timothy E. O’Toole. Their work appears in journals such as The Journal of Immunology, Arteriosclerosis Thrombosis and Vascular Biology, Nature Communications, The FASEB Journal and Diabetes.

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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