Hans J. Grav

51 total papers · 1.2k total citations
39 papers, 1.0k citations indexed

About

Hans J. Grav is a scholar working on Physiology, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Hans J. Grav has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 16 papers in Molecular Biology and 9 papers in Nutrition and Dietetics. Recurrent topics in Hans J. Grav's work include Adipose Tissue and Metabolism (17 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and Muscle metabolism and nutrition (7 papers). Hans J. Grav is often cited by papers focused on Adipose Tissue and Metabolism (17 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and Muscle metabolism and nutrition (7 papers). Hans J. Grav collaborates with scholars based in Norway, Sweden and United States. Hans J. Grav's co-authors include Jan I. Pedersen, Arnoldus Schytte Blix, E. N. Christiansen, Rolf K. Berge, Olov Lindberg, David G. Nicholls, Arnfinn Aulie, Tone Tannæs, Oddrun Anita Gudbrandsen and Geir Bukholm and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Hans J. Grav

39 papers receiving 921 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hans J. Grav 437 394 211 158 113 39 1.0k
Thomas Hernandez 187 0.4× 161 0.4× 404 1.9× 89 0.6× 43 0.4× 52 1.0k
I. Beis 425 1.0× 115 0.3× 295 1.4× 169 1.1× 32 0.3× 37 1000
Simon G. Lamarre 270 0.6× 145 0.4× 415 2.0× 95 0.6× 38 0.3× 63 1.2k
Kenneth P. Blemings 289 0.7× 109 0.3× 70 0.3× 90 0.6× 185 1.6× 39 1.1k
Fabrice Bertile 248 0.6× 414 1.1× 192 0.9× 88 0.6× 61 0.5× 66 964
Una Smith 485 1.1× 108 0.3× 65 0.3× 132 0.8× 41 0.4× 28 1.0k
D. N. Raine 367 0.8× 97 0.2× 166 0.8× 60 0.4× 46 0.4× 52 1.1k
Toshio Gotoh 467 1.1× 184 0.5× 99 0.5× 590 3.7× 55 0.5× 43 1.1k
Benoı̂t Dérijard 688 1.6× 109 0.3× 78 0.4× 61 0.4× 123 1.1× 22 1.1k
T. R. C. Boyde 235 0.5× 82 0.2× 246 1.2× 55 0.3× 88 0.8× 28 1.0k

Countries citing papers authored by Hans J. Grav

Since Specialization
Citations

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

Fields of papers citing papers by Hans J. Grav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans J. Grav

This figure shows the co-authorship network connecting the top 25 collaborators of Hans J. Grav. A scholar is included among the top collaborators of Hans J. Grav based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans J. Grav. Hans J. Grav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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