H.-G. Neumann

43 papers receiving 614 citations

Peers

H.-G. Neumann
Comparison fields: 5 of 82
  • Cancer Research 367
  • Chemical Health and Safety 15
  • Health, Toxicology and Mutagenesis 172
  • Biochemistry 57
  • Pharmacology 45
Replace U. Andrae with:
U. Andrae Germany
Susan Melchionne United States
H.‐G. Neumann Germany
Hans‐Günter Neumann Germany
Max J. Turner United States
Maurizio Taningher Italy
Josef Strasser United States
H. Peter Germany
Giuseppe Lefemine United States
Georgiana M. Bonser United Kingdom
H.-G. Neumann relative to U. Andrae Germany U. Andrae's profile →
Citations per field
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U. Andrae · 1×
Citations per year

Countries citing papers authored by H.-G. Neumann

Since Specialization
Citations

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

Fields of papers citing papers by H.-G. Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.-G. Neumann. 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 H.-G. Neumann. The network helps show where H.-G. Neumann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199956
2 198848
3 198543
4 199038
5 197131
6 198030
7 199429
8 200728
9
[The genetic effect of aromatic amines and their derivatives: induction of mytotic conversion in the yeast Saccharomyces cerevisiae].
197023
10 199021
11 199021
12 197020
13 197019
14 199519
15 197118
16 198517
17 200116
18 199015
19 200114
20 198814

About H.-G. Neumann

H.-G. Neumann is a scholar working on Cancer Research, Molecular Biology, Health, Toxicology and Mutagenesis, Biochemistry and Plant Science, having authored 43 papers that have together received 654 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (21 papers), Effects and risks of endocrine disrupting chemicals (6 papers), DNA Repair Mechanisms (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Chemical Reactions and Isotopes (4 papers), Pesticide Exposure and Toxicity (4 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Cancer Research (367 citations), Chemical Health and Safety (15 citations), Health, Toxicology and Mutagenesis (172 citations), Biochemistry (57 citations) and Pharmacology (45 citations). H.-G. Neumann has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include M. Metzler, Gabriele Sabbioni, Gerhard Birner, Wolfgang Albrecht, R. Franz, Annette Bitsch, Stefan Ambs, H. Κ. Rjosk, Friedrich K. Zimmermann and Martin Göttlicher. Their work appears in journals such as Chemico-Biological Interactions, Archives of Toxicology, Carcinogenesis, Environmental Health Perspectives and Journal of Cancer Research and Clinical Oncology.

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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