Rainer Hubmann

1.7k citations
65 papers · 1.2k · h-index 18

Impact in

  • Hepatology top 2%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 18
    • Glycosylation and Glycoproteins Research 3
    • Ubiquitin and proteasome pathways 3

Rainer Hubmann

61 papers receiving 1.2k citations

Peers

Rainer Hubmann
Comparison fields: 5 of 92
  • Hepatology 263
  • Genetics 174
  • Complementary and Manual Therapy 24
  • Gastroenterology 53
  • Hematology 96
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Sophie Collardeau‐Frachon France
A. Cecchetto Italy
N. Gunnar Westberg United States
Peter Hasselblatt Germany
Carmen Gelpí Spain
Yasushi Nakamoto Japan
Leopold Ludwig Germany
Masahiro Ohira Japan
Marlena Kern United States
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Citations per year

Countries citing papers authored by Rainer Hubmann

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Hubmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006129
2 2002114
3 1995106
4 201093
5 200875
6 200469
7 200460
8 200555
9 200653
10 200641
11 201232
12 199527
13 201027
14 201726
15 200925
16 200219
17 199419
18 200617
19 200416
20 202015

About Rainer Hubmann

Rainer Hubmann is a scholar working on Genetics, Molecular Biology, Hepatology, Oncology and Surgery, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (18 papers), Hepatitis C virus research (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Cancer-related Molecular Pathways (4 papers), Acute Myeloid Leukemia Research (4 papers), Liver Disease and Transplantation (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Hepatology (263 citations), Genetics (174 citations), Complementary and Manual Therapy (24 citations), Gastroenterology (53 citations) and Hematology (96 citations). Rainer Hubmann has collaborated with scholars based in Austria, Hungary and United States. Frequent co-authors include Medhat Shehata, Martin Hilgarth, Josef D. Schwarzmeier, Markus Duechler, Andreas Shamiyeh, W. Wayand, Dita Demirtas, G Biesenbach, Jörg Zehetner and Susanne Schnabl. Their work appears in journals such as Blood, Journal of Hepatology, British Journal of Haematology, Diabetologia and Journal of Thermal Analysis and Calorimetry.

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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