Richard Lehner

6.4k citations
91 papers · 5.1k indexed · h-index 40

Impact in

Papers in

Richard Lehner

91 papers receiving 5.1k citations

Peers

Richard Lehner
Comparison fields: 5 of 130
  • Biochemistry 1.9k
  • Physiology 1.2k
  • Geriatrics and Gerontology 143
  • Endocrinology, Diabetes and Metabolism 588
  • Molecular Biology 2.2k
Replace Dagmar Kratky with:
Dagmar Kratky Austria
Fawaz G. Haj United States
Liqing Yu United States
Yuriy K. Bashmakov Russia
Gabriella Leonarduzzi Italy
Jun-ichi Osuga Japan
Lutfi Abu-Elheiga United States
Ahmed Bettaieb United States
Thomas W. Doebber United States
Cristina M. Rondinone United States
Richard Lehner relative to Dagmar Kratky Austria Dagmar Kratky's profile →
Citations per field
00.5×3.8×
Dagmar Kratky · 1×
Citations per year

Countries citing papers authored by Richard Lehner

Since Specialization
Citations

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

Fields of papers citing papers by Richard Lehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20238
3 20233
4 202248
5 201825
6 201735
7 2017173
8 201722
9 201678
10 201461
11 2014176
12 2012116
13 201255
14 2012269
15 201085
16 200480
17 200338
18 200235
19 200175
20 200116

About Richard Lehner

Richard Lehner is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Physiology, Cell Biology and Cancer Research, having authored 91 papers that have together received 5.1k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (56 papers), Adipose Tissue and Metabolism (23 papers), Peroxisome Proliferator-Activated Receptors (19 papers), Pancreatic function and diabetes (16 papers), Diet, Metabolism, and Disease (15 papers), Liver Disease Diagnosis and Treatment (13 papers), Endoplasmic Reticulum Stress and Disease (13 papers) and Cholesterol and Lipid Metabolism (10 papers). The work is most often cited by research in Biochemistry (1.9k citations), Physiology (1.2k citations), Geriatrics and Gerontology (143 citations), Endocrinology, Diabetes and Metabolism (588 citations) and Molecular Biology (2.2k citations). Richard Lehner has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Dennis E. Vance, A. Kuksis, Ariel D. Quiroga, Dean Gilham, Jihong Lian, Vernon W. Dolinsky, Randal C. Nelson, En‐Hui Wei, Huajin Wang and Lena Li. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of Biological Chemistry, Journal of Lipid Research, Biochemical Journal and Scientific Reports.

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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