Matthias P. Ebert

7.1k total citations · 1 hit paper
161 papers, 5.1k citations indexed

About

Matthias P. Ebert is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Matthias P. Ebert has authored 161 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Surgery, 56 papers in Oncology and 54 papers in Molecular Biology. Recurrent topics in Matthias P. Ebert's work include Pancreatic and Hepatic Oncology Research (33 papers), Helicobacter pylori-related gastroenterology studies (22 papers) and Pancreatitis Pathology and Treatment (21 papers). Matthias P. Ebert is often cited by papers focused on Pancreatic and Hepatic Oncology Research (33 papers), Helicobacter pylori-related gastroenterology studies (22 papers) and Pancreatitis Pathology and Treatment (21 papers). Matthias P. Ebert collaborates with scholars based in Germany, United States and China. Matthias P. Ebert's co-authors include Peter Malfertheiner, Christoph Röcken, Murray Korc, Helmut Friess, Jun Yu, Markus W. Büchler, Helmut Frieß, Hans G. Beger, Yoichiro Yamanaka and Leslie I. Gold and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Matthias P. Ebert

155 papers receiving 5.0k citations

Hit Papers

GPT-4 for Information Retrieval and Comparison of Medical... 2024 2026 2025 2024 10 20 30 40

Peers

Matthias P. Ebert
Comparison fields: 5 of 127
  • Molecular Biology 2.3k
  • Oncology 1.9k
  • Surgery 1.5k
  • Pulmonary and Respiratory Medicine 871
  • Cancer Research 847
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Ferdinando De Vita Italy
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Citations per field, relative to Matthias P. Ebert
Matthias P. Ebert · 1×
Citations per year, relative to Matthias P. Ebert
Matthias P. Ebert · 1×

Countries citing papers authored by Matthias P. Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Matthias P. Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias P. Ebert

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias P. Ebert. A scholar is included among the top collaborators of Matthias P. Ebert 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 P. Ebert. Matthias P. Ebert 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 1
2 0
3 10
4
GPT-4 for Information Retrieval and Comparison of Medical Oncology Guidelines breakdown →
47
5 4
6 0
7 6
8 1
9 10
10 4
11 2
12 3
13 21
14 14
15 31
16 25
17 13
18 93
19 54
20 35

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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