Jennifer Naumann

612 citations
9 papers · 482 · h-index 6

Impact in

  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Adenosine and Purinergic Signaling
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

Jennifer Naumann

9 papers receiving 477 citations

Peers

Jennifer Naumann
Comparison fields: 5 of 72
  • Physiology 39
  • Physiology 183
  • Cancer Research 100
  • Rehabilitation 27
  • Geriatrics and Gerontology 11
Replace Minwoo Nam with:
Minwoo Nam United States
Gabriele Biemer‐Daub Germany
Junco S. Warren United States
Jonathan P. Barlow United Kingdom
Wenlong Xue China
Babette C. Hammerling United States
Brittany L Dunkerly-Eyring United States
Yoni Athéa France
Gary M. Knowels United States
Qiqi Guo China
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Citations per field
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Minwoo Nam · 1×
Citations per year

Countries citing papers authored by Jennifer Naumann

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Naumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Naumann. 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 Jennifer Naumann. The network helps show where Jennifer Naumann may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016152
2 2019143
3 2020105
4 201741
5 201718
6 202011
7 20246
8 20223
9 20253

About Jennifer Naumann

Jennifer Naumann is a scholar working on Physiology, Geriatrics and Gerontology, Physiology, Internal Medicine and Rehabilitation, having authored 9 papers that have together received 482 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Adenosine and Purinergic Signaling (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Blood Coagulation and Thrombosis Mechanisms (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Pancreatic function and diabetes (1 paper) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Physiology (39 citations), Physiology (183 citations), Cancer Research (100 citations), Rehabilitation (27 citations) and Geriatrics and Gerontology (11 citations). Jennifer Naumann has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Alexander Pfeifer, Christian Schlein, Jöerg Heeren, Kirsi A. Virtanen, Wouter van Marken Lichtenbelt, Franziska Siegel, Michael J. Schell, Yong Chen, Mark J. W. Hanssen and Ruping Pan. Their work appears in journals such as Cell Metabolism, Molecular Metabolism, BMC Pulmonary Medicine, Cell Reports and Nature Communications.

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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