Gerhard Hübner

4.4k citations
178 papers · 3.4k · h-index 31

Impact in

Papers in

Gerhard Hübner

168 papers receiving 3.3k citations

Peers

Gerhard Hübner
Comparison fields: 5 of 139
  • Biochemistry 1.5k
  • Clinical Biochemistry 870
  • Neurology 979
  • Biological Psychiatry 120
  • Rheumatology 262
Replace Carl W. Porter with:
Carl W. Porter United States
Peleg Horowitz United States
Ulrich Mühlenhoff Germany
Jan Riemer Germany
Stephan Nußberger Germany
Venkat N. Reddy United States
Daniel Wellner United States
Katsuhiko Ono Japan
Michael J. Runswick United Kingdom
Robert A. Hallewell United States
Gerhard Hübner relative to Carl W. Porter United States Carl W. Porter's profile →
Citations per field
00.5×8.5×
Carl W. Porter · 1×
Citations per year

Countries citing papers authored by Gerhard Hübner

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Hübner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991297
2 1997235
3 2003115
4 1978107
5 200793
6 199980
7 200366
8 200365
9 200161
10 200558
11 198857
12 200352
13 199051
14 198249
15 199846
16 200146
17 198646
18 198546
19 200544
20 199244

About Gerhard Hübner

Gerhard Hübner is a scholar working on Biochemistry, Clinical Biochemistry, Neurology, Molecular Biology and Organic Chemistry, having authored 178 papers that have together received 3.4k indexed citations. Recurring topics across this work include Biochemical Acid Research Studies (83 papers), Metabolism and Genetic Disorders (56 papers), Alcoholism and Thiamine Deficiency (45 papers), Amino Acid Enzymes and Metabolism (33 papers), Mitochondrial Function and Pathology (10 papers), N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (8 papers), Plant and animal studies (7 papers) and Biochemical and Molecular Research (7 papers). The work is most often cited by research in Biochemistry (1.5k citations), Clinical Biochemistry (870 citations), Neurology (979 citations), Biological Psychiatry (120 citations) and Rheumatology (262 citations). Gerhard Hübner has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Alfred Schellenberger, Kai Tittmann, Ralph Golbik, Stephan König, Holger Neef, G. Schneider, Wolfgang Völkl, Günther Kern, D. Pongratz and G. Wille. Their work appears in journals such as Biochemistry, FEBS Letters, European Journal of Biochemistry, Journal of Molecular Medicine and Journal of Biological Chemistry.

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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