Jens‐Gerd Scharf

1.6k citations
48 papers · 1.4k indexed · h-index 21
Topics
Growth Hormone and Insulin-like Growth Factors (25 papers)Cancer, Hypoxia, and Metabolism (11 papers)Metabolism, Diabetes, and Cancer (8 papers)

In The Last Decade

Jens‐Gerd Scharf

47 papers receiving 1.3k citations

Peers

Jens‐Gerd Scharf
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 485
  • Molecular Biology 475
  • Epidemiology 378
  • Hepatology 359
  • Cancer Research 294
Replace Yasuyuki Okamoto with:
Yasuyuki Okamoto Japan
Thiago A. Pereira United States
Shvetank Sharma India
Toshihiro Higashi Japan
Ariel E. Feldstein United States
Ling Yang China
Francis R. Weiner United States
Norman R. Hughes Australia
Yasutake Yamamoto Japan
Bedair Dewidar Germany
Jens‐Gerd Scharf relative to Yasuyuki Okamoto Japan Yasuyuki Okamoto's profile →
Citations per field
00.5×1.5×2.4×
Yasuyuki Okamoto · 1×
Citations per year

Countries citing papers authored by Jens‐Gerd Scharf

Since Specialization
Citations

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

Fields of papers citing papers by Jens‐Gerd Scharf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jens‐Gerd Scharf. 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 Jens‐Gerd Scharf. The network helps show where Jens‐Gerd Scharf may publish in the future.

Co-authorship network of co-authors of Jens‐Gerd Scharf

This figure shows the co-authorship network connecting the top 25 collaborators of Jens‐Gerd Scharf. A scholar is included among the top collaborators of Jens‐Gerd Scharf 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 Jens‐Gerd Scharf. Jens‐Gerd Scharf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 23
3 6
4 63
5 59
6 5
7 9
8 23
9 34
10 23
11 18
12 46
13 6
14 59
15 17
16 51
17 81
18 26
19 2
20 6

About Jens‐Gerd Scharf

Jens‐Gerd Scharf is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Cancer Research, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (25 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Metabolism, Diabetes, and Cancer (8 papers). The work is most often cited by research in Hepatology (359 citations), Endocrinology, Diabetes and Metabolism (485 citations) and Cancer Research (294 citations). Jens‐Gerd Scharf has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Giuliano Ramadori, Thomas Braulke, Bernhard Saile, Thomas Knittel, Mirko Mehde, Peter Burfeind, Heinz Hartmann, Frank Dombrowski, Thomas Kietzmann and Jochen Gaedcke. Their work appears in journals such as Hepatology, FEBS Letters and Endocrinology.

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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