J Hempel

93 papers receiving 3.8k citations

Peers

J Hempel
Comparison fields: 5 of 137
  • Biochemistry 450
  • Clinical Biochemistry 383
  • Pathology and Forensic Medicine 904
  • Cell Biology 723
  • Molecular Biology 1.9k
Replace Roberto Di Marco with:
Roberto Di Marco Italy
Haim Aviv Israel
Edward A. Smuckler United States
Edward Essner United States
Josef Kellermann Germany
Phyllis M. Novikoff United States
David A. Ferrick United States
Robert M. Wohlhueter United States
Sadaki Yokota Japan
William Landschulz United States
J Hempel relative to Roberto Di Marco Italy Roberto Di Marco's profile →
Citations per field
00.5×3.3×
Roberto Di Marco · 1×
Citations per year

Countries citing papers authored by J Hempel

Since Specialization
Citations

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

Fields of papers citing papers by J Hempel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997287
2 1997270
3 1999244
4 1992207
5 1993156
6 1984156
7 2009145
8 1985140
9 1995135
10 1988118
11 2013100
12 198487
13 199883
14 197782
15 198878
16 199774
17 198466
18 198266
19 198765
20 198262

About J Hempel

J Hempel is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cell Biology, Clinical Biochemistry and Materials Chemistry, having authored 94 papers that have together received 4.0k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (31 papers), Metabolomics and Mass Spectrometry Studies (21 papers), Enzyme Structure and Function (15 papers), Metabolism and Genetic Disorders (15 papers), Cancer, Hypoxia, and Metabolism (12 papers), Aldose Reductase and Taurine (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Biochemistry (450 citations), Clinical Biochemistry (383 citations), Pathology and Forensic Medicine (904 citations), Cell Biology (723 citations) and Molecular Biology (1.9k citations). J Hempel has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Ronald Lindahl, Hans Jörnvall, John Perozich, Hugh B. Nicholas, Rudolf Kaiser, Hedvig von Bahr‐Lindström, Bi‐Cheng Wang, Regina Pietruszko, Bert L. Vallée and Ingrid Kuo. Their work appears in journals such as European Journal of Biochemistry, Biochemistry, Chemico-Biological Interactions, Advances in experimental medicine and biology and FEBS Letters.

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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