Matthias Hepprich

597 total citations
25 papers, 326 citations indexed

About

Matthias Hepprich is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Matthias Hepprich has authored 25 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Matthias Hepprich's work include Diabetes Treatment and Management (11 papers), Bariatric Surgery and Outcomes (6 papers) and Diabetes Management and Research (4 papers). Matthias Hepprich is often cited by papers focused on Diabetes Treatment and Management (11 papers), Bariatric Surgery and Outcomes (6 papers) and Diabetes Management and Research (4 papers). Matthias Hepprich collaborates with scholars based in Switzerland, Germany and United States. Matthias Hepprich's co-authors include Marc Y. Donath, Fahim Ebrahimi, Lars G. Hemkens, Cathrine Axfors, Viktoria Gloy, Perrine Janiaud, Emily R. Smith, Steven N. Goodman, Nina Khanna and David Moher and has published in prestigious journals such as JAMA, Circulation and PLoS ONE.

In The Last Decade

Matthias Hepprich

20 papers receiving 322 citations

Peers

Matthias Hepprich
Comparison fields: 5 of 77
  • Infectious Diseases 114
  • Endocrinology, Diabetes and Metabolism 82
  • Surgery 72
  • Neurology 63
  • Molecular Biology 53
Replace Roshan Kumar Mahat with:
Roshan Kumar Mahat India
Andrea R. Mospan United States
Süleyman Nahit Şendur Türkiye
Nasser Malekpour Alamdari Iran
Aline de Nooijer Netherlands
Inge Grondman Netherlands
Marjan Jeddi Iran
María del Mar Gutiérrez Spain
Tom Sasse Switzerland
Roshan Kumar Mahat India View profile →
Citations per field, relative to Matthias Hepprich
Matthias Hepprich · 1×
Citations per year, relative to Matthias Hepprich
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Countries citing papers authored by Matthias Hepprich

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Hepprich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Hepprich

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Hepprich. A scholar is included among the top collaborators of Matthias Hepprich 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 Matthias Hepprich. Matthias Hepprich 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
# Work Indexed citations
1 0
2 0
3 34
4 0
5 7
6 8
7 5
8 9
9 7
10 6
11 16
12 37
13 6
14 3
15 15
16
Pitfalls in the Detection of Insulinomas with GLP-1R Imaging
1
17 2
18 4
19 2
20 11

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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