M Caselitz

854 citations
31 papers · 524 · h-index 12

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
  • Genetics top 5%
    • Vascular Anomalies and Treatments

Papers in

M Caselitz

29 papers receiving 507 citations

Peers

M Caselitz
Comparison fields: 5 of 55
  • Hepatology 171
  • Genetics 176
  • Marketing 74
  • Pulmonary and Respiratory Medicine 177
  • Epidemiology 148
Replace Peter Fellmer with:
Peter Fellmer Germany
Masayuki Miyata Japan
Grazia Soccio Italy
Qin Jiang China
Simone Nunes de Carvalho Brazil
Kunihiko Tomoda Japan
Hiroyuki Yajima Japan
Moore Sb United States
Yukitomo Urata Japan
Noriyuki Sakurai Japan
M Caselitz relative to Peter Fellmer Germany Peter Fellmer's profile →
Citations per field
00.5×4.9×
Peter Fellmer · 1×
Citations per year

Countries citing papers authored by M Caselitz

Since Specialization
Citations

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

Fields of papers citing papers by M Caselitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200496
2 200363
3 200349
4 199845
5 199744
6 200430
7 200227
8 200524
9 199823
10 199821
11 200815
12
Perihepatic lymphadenopathy: a marker of response to interferon alpha in chronic hepatitis C.
199814
13 200411
14 20019
15 20039
16 20045
17 20085
18 20025
19 19994
20 20084

About M Caselitz

M Caselitz is a scholar working on Pulmonary and Respiratory Medicine, Hepatology, Surgery, Genetics and Epidemiology, having authored 31 papers that have together received 524 indexed citations. Recurring topics across this work include Vascular Anomalies and Treatments (6 papers), Tracheal and airway disorders (5 papers), Liver Disease and Transplantation (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Gallbladder and Bile Duct Disorders (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Amoebic Infections and Treatments (3 papers) and Sharing Economy and Platforms (2 papers). The work is most often cited by research in Hepatology (171 citations), Genetics (176 citations), Marketing (74 citations), Pulmonary and Respiratory Medicine (177 citations) and Epidemiology (148 citations). M Caselitz has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Michael P. Manns, M Gebel, Siegfried Wagner, Stefan Kubicka, K. Lenhard Rudolph, Peer Flemming, Ruben R. Plentz, Ajay Chavan, J. S. Bleck and Karin Weißenborn. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, Hepatology, Gastroenterology, Journal of Hepatology and Gut.

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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