J. Graf

65 papers receiving 2.0k citations

Peers

J. Graf
Comparison fields: 5 of 114
  • Hepatology 225
  • Oncology 669
  • Pharmacology 150
  • Pediatrics, Perinatology and Child Health 220
  • Molecular Biology 860
Replace Ulrich Warskulat with:
Ulrich Warskulat Germany
Sumedha Gunewardena United States
Brian Herman United States
Max Fehlmann France
Hiraku Itadani Japan
R A Roth United States
R. H. Rixon Canada
Barbara J. Klocke United States
Simone Kühnle Germany
Anja Jaeschke United States
J. Graf relative to Ulrich Warskulat Germany Ulrich Warskulat's profile →
Citations per field
00.5×1.5×
Ulrich Warskulat · 1×
Citations per year

Countries citing papers authored by J. Graf

Since Specialization
Citations

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

Fields of papers citing papers by J. Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984122
2 2014104
3
Ion transport in hepatocytes: mechanisms and correlations to cell volume, hormone actions and metabolism.
199689
4 199884
5 198774
6 197872
7 198872
8 199872
9 197967
10 199760
11 199860
12 198758
13 198354
14 199753
15 200051
16 200249
17 199248
18 197648
19 199145
20 199044

About J. Graf

J. Graf is a scholar working on Molecular Biology, Oncology, Surgery, Cellular and Molecular Neuroscience and Epidemiology, having authored 65 papers that have together received 2.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (24 papers), Ion Transport and Channel Regulation (22 papers), Ion channel regulation and function (14 papers), Pancreatic function and diabetes (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Liver physiology and pathology (4 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Hepatology (225 citations), Oncology (669 citations), Pharmacology (150 citations), Pediatrics, Perinatology and Child Health (220 citations) and Molecular Biology (860 citations). J. Graf has collaborated with scholars based in Austria, United States and Hungary. Frequent co-authors include James L. Boyer, Pierre S. Haddad, Robert M. Henderson, A. K. Gautam, Dieter Häussinger, Ole H. Petersen, Meinrad Peterlik, Leszek Gajdzik, Gerhard Giebisch and Mario Strazzabosco. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Biochimica et Biophysica Acta (BBA) - Biomembranes, Pflügers Archiv - European Journal of Physiology, Biochemical Journal and The Journal of Membrane Biology.

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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