Daniel Eberhard

1.5k citations
37 papers · 1.1k indexed · h-index 19

Impact in

Papers in

    • Pancreatic function and diabetes 22
    • Liver physiology and pathology 4

Daniel Eberhard

37 papers receiving 1.0k citations

Peers

Daniel Eberhard
Comparison fields: 5 of 88
  • Hepatology 94
  • Endocrinology, Diabetes and Metabolism 160
  • Surgery 401
  • Molecular Biology 541
  • Genetics 215
Replace Heike Naumann with:
Heike Naumann Germany
John Le Lay United States
Esw Ngan Hong Kong
Yoichiro Kato Japan
Dong‐Sik Ham South Korea
Siew Tein Wang Singapore
Essam M. Abdelalim Qatar
Guida Maria Portela‐Gomes Sweden
Per Antonson Sweden
Kiyohiko Kishi Japan
Daniel Eberhard relative to Heike Naumann Germany Heike Naumann's profile →
Citations per field
00.5×3.6×
Heike Naumann · 1×
Citations per year

Countries citing papers authored by Daniel Eberhard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Eberhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20248
3 20247
4 20244
5 20236
6 20214
7 201911
8 201873
9 2018120
10 201520
11 201412
12 201415
13 201323
14 201287
15 20105
16 201089
17 20087
18 200824
19 200413
20 20046

About Daniel Eberhard

Daniel Eberhard is a scholar working on Surgery, Hepatology, Endocrinology, Diabetes and Metabolism, Developmental Biology and Genetics, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Diabetes and associated disorders (8 papers), Genetics and Neurodevelopmental Disorders (5 papers), Diabetes Management and Research (4 papers), Liver physiology and pathology (4 papers), Diet, Metabolism, and Disease (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Hepatology (94 citations), Endocrinology, Diabetes and Metabolism (160 citations), Surgery (401 citations), Molecular Biology (541 citations) and Genetics (215 citations). Daniel Eberhard has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Eckhard Lammert, David Tosh, Harald Jockusch, Martin Kragl, Làszlò Tora, I. Grummt, Jonathan Slack, Udo Rudloff, Deepak Jain and Jan Eglinger. Their work appears in journals such as PLoS ONE, Nature Communications, The EMBO Journal, BioEssays and Cellular and Molecular Life Sciences.

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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