U. Kaboth

501 citations
48 papers · 279 indexed · h-index 10

U. Kaboth

43 papers receiving 240 citations

Peers

U. Kaboth
Comparison fields: 5 of 63
  • Hepatology 77
  • Epidemiology 104
  • Hematology 32
  • Genetics 28
  • Immunology 38
Replace Toshiyuki Takeishi with:
Toshiyuki Takeishi Japan
P. H. Jordan United States
C. Oesterreicher Austria
F. Taillard France
L Schivazappa Italy
Eri Miyata Japan
Touraine Jl France
Tai‐Ping Lee United States
Chikako Shima Japan
Ouki Yasui Japan
U. Kaboth relative to Toshiyuki Takeishi Japan Toshiyuki Takeishi's profile →
Citations per field
00.5×1.5×1.9×
Toshiyuki Takeishi · 1×
Citations per year

Countries citing papers authored by U. Kaboth

Since Specialization
Citations

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

Fields of papers citing papers by U. Kaboth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20083
2 20047
3 20031
4 19926
5 199020
6 19883
7 19841
8
[Plasmapheresis: First clinical results in malignant tumors].
19813
9 197817
10
[Clinical significance of hepatitis B-antigen].
19730
11 19739
12 197213
13
[Decrease of transfusion hepatitis following introduction of transaminases and Australia (SH)-antigen determination in blood donors].
19711
14 19716
15
Liver histology in healthy carriers of Australia-SH antigen or antibodies.
19717
16 19714
17
[Beta-1A-globulin in liver patients].
19691
18 196917
19
[Antibody plaque technic with 3 morphologically distinguishable erythrocyte forms].
19672
20 19659

About U. Kaboth

U. Kaboth is a scholar working on Hepatology, Epidemiology, Gastroenterology, Immunology and Allergy and Oncology, having authored 48 papers that have together received 279 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (11 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Hepatitis C virus research (6 papers), Pancreatitis Pathology and Treatment (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hepatology (77 citations), Epidemiology (104 citations), Hematology (32 citations), Genetics (28 citations) and Immunology (38 citations). U. Kaboth has collaborated with scholars based in Germany and United States. Frequent co-authors include H. Koop, K. Winckler, Andreas Schober, R. Thomssen, O Klinge, P.G. Lankisch, W Creutzfeldt, Herbert Fischer, Andreas Schober and H. I. Schipper. Their work appears in journals such as Journal of Molecular Medicine, DMW - Deutsche Medizinische Wochenschrift, Clinica Chimica Acta, Journal of Neurology Neurosurgery & Psychiatry and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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