Martin Höhne

2.8k citations
53 papers · 1.8k indexed · h-index 23
  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies 16
    • Chronic Kidney Disease and Diabetes 4
  • Hepatology top 5%
    • Liver physiology and pathology 5
    • Microtubule and mitosis dynamics 4
    • Hippo pathway signaling and YAP/TAZ 4
  • Genetics top 5%
    • Genetic and Kidney Cyst Diseases 9
    • Virus-based gene therapy research 4
    • Renal and related cancers 8

Martin Höhne

52 papers receiving 1.8k citations

Peers

Martin Höhne
Comparison fields: 5 of 92
  • Nephrology 386
  • Hepatology 156
  • Cell Biology 253
  • Cancer Research 230
  • Genetics 426
Replace Chiharu Uchida with:
Chiharu Uchida Japan
Bjoern Buchholz Germany
Christine Leroy France
Karin E. Finberg United States
Gudrun Ihrke United States
Jonathan M. Shillingford United States
Arnaud Augert France
Yoji Andrew Minamishima Japan
Bryan D. Lemon United States
Francesco Pacifico Italy
Martin Höhne relative to Chiharu Uchida Japan Chiharu Uchida's profile →
Citations per field
00.5×5.4×
Chiharu Uchida · 1×
Citations per year

Countries citing papers authored by Martin Höhne

Since Specialization
Citations

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

Fields of papers citing papers by Martin Höhne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 20226
3 202211
4 202112
5 202018
6 201612
7 201612
8 201635
9 20149
10 201317
11 201236
12 201124
13 2006145
14 2006236
15 19992
16 199925
17 199522
18 199463
19 19936
20 199336

About Martin Höhne

Martin Höhne is a scholar working on Nephrology, Aging and Hepatology, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (16 papers), Genetic and Kidney Cyst Diseases (9 papers), Renal and related cancers (8 papers), Liver physiology and pathology (5 papers), Virus-based gene therapy research (4 papers), Microtubule and mitosis dynamics (4 papers), Chronic Kidney Disease and Diabetes (4 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Nephrology (386 citations), Hepatology (156 citations) and Cell Biology (253 citations). Martin Höhne has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Thomas Benzing, Bernhard Schermer, Wolfram H. Gerlich, Maria Seifer, Stephan Schaefer, Georg F. Kahl, R. J. Weinel, D. Paul, Malte P. Bartram and Mark A. Feitelson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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