Daniel Schmitz

36 papers receiving 575 citations

Peers

Daniel Schmitz
Comparison fields: 5 of 72
  • Behavioral Neuroscience 19
  • Epidemiology 200
  • Immunology 102
  • Hepatology 46
  • Critical Care and Intensive Care Medicine 23
Replace Tobias Traeger with:
Tobias Traeger Germany
Gaetan Marécaux Belgium
W.‐D. Döcke Germany
Philipp Hahn Germany
Wolfram Keßler Germany
Magnus Braide Sweden
Charis F. Meng United States
Pravat Kumar Thatoi India
Lina Qiao China
Stephanie Denk Germany
Daniel Schmitz relative to Tobias Traeger Germany Tobias Traeger's profile →
Citations per field
00.5×2×4×6×7.7×
Tobias Traeger · 1×
Citations per year

Countries citing papers authored by Daniel Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200599
2 200666
3 200459
4 199945
5 200632
6 200331
7 200630
8 202120
9 200219
10 201818
11 200717
12 201017
13 201917
14 200816
15 201611
16 200910
17 201810
18 20079
19 20229
20 20048

About Daniel Schmitz

Daniel Schmitz is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Immunology, having authored 45 papers that have together received 596 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (12 papers), Gallbladder and Bile Duct Disorders (9 papers), Pancreatic and Hepatic Oncology Research (5 papers), Immune Response and Inflammation (3 papers), Adrenal Hormones and Disorders (2 papers), Vascular Procedures and Complications (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Behavioral Neuroscience (19 citations), Epidemiology (200 citations), Immunology (102 citations), Hepatology (46 citations) and Critical Care and Intensive Care Medicine (23 citations). Daniel Schmitz has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Reiner Oberbeck, Manfred Schedlowski, Michael S. Exton, Sascha Flohé, Stefanie B. Flohé, F. Ulrich Schade, Hemant Agrawal, Hanns Friedrich Löhr, Karl‐Hermann Meyer zum Büschenfelde and Guido Gerken. Their work appears in journals such as Intensive Care Medicine, Genes Chromosomes and Cancer, PLoS ONE, Journal of Surgical Research and Endoscopy.

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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