Klaus Schlottmann

2.0k citations
53 papers · 1.4k indexed · h-index 19

Impact in

Papers in

Klaus Schlottmann

53 papers receiving 1.4k citations

Peers

Klaus Schlottmann
Comparison fields: 5 of 114
  • Hepatology 163
  • Immunology and Allergy 119
  • Immunology 300
  • Aging 23
  • Oncology 269
Replace Yoshiyuki Wakabayashi with:
Yoshiyuki Wakabayashi United States
Maya Gulubova Bulgaria
Ying Bao China
Hiroshi Egami Japan
F Sasaki Japan
Hans E. Schaefer Germany
Shishir Shetty United Kingdom
Jun Sang Bae South Korea
Tomohiro Kato Japan
Wei Mu China
Klaus Schlottmann relative to Yoshiyuki Wakabayashi United States Yoshiyuki Wakabayashi's profile →
Citations per field
00.5×4.6×
Yoshiyuki Wakabayashi · 1×
Citations per year

Countries citing papers authored by Klaus Schlottmann

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Schlottmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Clinical signs in the diagnosis of deep vein thrombosis.
20113
2 200913
3 20083
4 20076
5 20079
6 200713
7 20068
8 200514
9 200410
10 200438
11 200456
12 200429
13 200318
14 20025
15 199613
16 199687
17 199629
18 199647
19 199665
20 19957

About Klaus Schlottmann

Klaus Schlottmann is a scholar working on Hepatology, Aging, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Cell death mechanisms and regulation (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Gastric Cancer Management and Outcomes (4 papers), Clinical Nutrition and Gastroenterology (3 papers), Esophageal Cancer Research and Treatment (3 papers) and Phagocytosis and Immune Regulation (3 papers). The work is most often cited by research in Hepatology (163 citations), Immunology and Allergy (119 citations), Immunology (300 citations), Aging (23 citations) and Oncology (269 citations). Klaus Schlottmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include K. Mark Coggeshall, Erich Gulbins, Florian Läng, Jürgen Schölmerich, Birgit Brenner, Frank Kullmann, Ursula Koppenhoefer, Gerhard Rogler, Olaf Pongs and Xinfeng Zhang. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Gastroenterology, European Journal of Gastroenterology & Hepatology and Journal of Medical Virology.

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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