UT Hopt

108 total papers · 692 total citations
21 papers, 212 citations indexed

About

UT Hopt is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, UT Hopt has authored 21 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in UT Hopt's work include Pancreatitis Pathology and Treatment (6 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). UT Hopt is often cited by papers focused on Pancreatitis Pathology and Treatment (6 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). UT Hopt collaborates with scholars based in Germany and Netherlands. UT Hopt's co-authors include Carsten Michael Bünger, Paul de Vos, Ulrich Adam, Christian Gerlach, Ludwig Jonas, Thomas Freier, W. Schareck, Ingo Brink, Michael Hentschel and A. Imdahl and has published in prestigious journals such as Journal of Antimicrobial Chemotherapy, Journal of Biomedical Materials Research Part A and Journal of Psychopharmacology.

In The Last Decade

UT Hopt

20 papers receiving 205 citations

Author Peers

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

Author Last Decade Papers Cites
UT Hopt 123 41 35 30 26 21 212
Zefeng Xia 87 0.7× 15 0.4× 24 0.7× 50 1.7× 69 2.7× 21 257
Chun-Xiao Hu 86 0.7× 22 0.5× 16 0.5× 24 0.8× 47 1.8× 21 186
Felix Bläsius 83 0.7× 37 0.9× 11 0.3× 47 1.6× 52 2.0× 30 241
Jaap Mulder 38 0.3× 40 1.0× 33 0.9× 17 0.6× 127 4.9× 21 215
Robel Beyene 115 0.9× 19 0.5× 35 1.0× 20 0.7× 29 1.1× 17 272
Bola Aladegbami 198 1.6× 30 0.7× 35 1.0× 30 1.0× 29 1.1× 30 278
Michał Kowara 40 0.3× 18 0.4× 22 0.6× 24 0.8× 41 1.6× 23 208
Yüksel Altınel 52 0.4× 25 0.6× 14 0.4× 18 0.6× 14 0.5× 29 137
Xingang Peng 68 0.6× 28 0.7× 21 0.6× 7 0.2× 92 3.5× 13 222
Eva Breuer 85 0.7× 20 0.5× 25 0.7× 11 0.4× 40 1.5× 21 201

Countries citing papers authored by UT Hopt

Since Specialization
Citations

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

Fields of papers citing papers by UT Hopt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of UT Hopt

This figure shows the co-authorship network connecting the top 25 collaborators of UT Hopt. A scholar is included among the top collaborators of UT Hopt 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 UT Hopt. UT Hopt 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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