J. Graf

70 papers receiving 2.1k citations

Peers

J. Graf
Comparison fields: 5 of 117
  • Hepatology 242
  • Oncology 746
  • Pharmacology 161
  • Molecular Biology 915
  • Pediatrics, Perinatology and Child Health 229
Replace Ulrich Warskulat with:
Ulrich Warskulat Germany
Sumedha Gunewardena United States
Paul Nicklin United Kingdom
Masakazu Kobayashi Japan
Brian Herman United States
Max Fehlmann France
R. H. Rixon Canada
Barbara J. Klocke United States
Masaharu Tsuchiya Japan
Simone Kühnle Germany
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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984132
2 2014105
3
Ion transport in hepatocytes: mechanisms and correlations to cell volume, hormone actions and metabolism.
199690
4 199886
5 197882
6 198780
7 198879
8 199875
9 197974
10 199765
11 198762
12 199862
13 198360
14 199758
15 200055
16 197651
17 200250
18 199250
19 199146
20 199045

About J. Graf

J. Graf is a scholar working on Molecular Biology, Oncology, Surgery, Epidemiology and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 2.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (28 papers), Ion Transport and Channel Regulation (24 papers), Ion channel regulation and function (14 papers), Liver Disease Diagnosis and Treatment (13 papers), Pancreatic function and diabetes (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Liver physiology and pathology (5 papers) and Pediatric Hepatobiliary Diseases and Treatments (5 papers). The work is most often cited by research in Hepatology (242 citations), Oncology (746 citations), Pharmacology (161 citations), Molecular Biology (915 citations) and Pediatrics, Perinatology and Child Health (229 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, Meinrad Peterlik, A. K. Gautam, Ole H. Petersen, Dieter Häussinger, Leszek Gajdzik, Gerhard Giebisch and Mario Strazzabosco. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Pflügers Archiv - European Journal of Physiology, Biochemical Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes and Biochemical Pharmacology.

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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