Marc‐Michael Blum

1.0k citations
32 papers · 829 · h-index 17

Impact in

Papers in

Marc‐Michael Blum

31 papers receiving 806 citations

Peers

Marc‐Michael Blum
Comparison fields: 5 of 103
  • Pollution 192
  • Clinical Biochemistry 79
  • Pharmacology 149
  • Health, Toxicology and Mutagenesis 114
  • Plant Science 285
Replace Marianne Koller with:
Marianne Koller Germany
H. P. Benschop Netherlands
Jean‐Louis Habib Jiwan Belgium
Alexandre A. de Castro Brazil
Giovanna Mobbili Italy
J. Rúben Gómez Castellanos United Kingdom
Marvin H. Goodrow United States
Janusz Skolimowski Poland
Curt S. Cooper United States
Gianluca Catucci Italy
Marc‐Michael Blum relative to Marianne Koller Germany Marianne Koller's profile →
Citations per field
00.5×3.6×
Marianne Koller · 1×
Citations per year

Countries citing papers authored by Marc‐Michael Blum

Since Specialization
Citations

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

Fields of papers citing papers by Marc‐Michael Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc‐Michael Blum. 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 Marc‐Michael Blum. The network helps show where Marc‐Michael Blum may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006126
2 200691
3 201170
4 200966
5 200962
6 200848
7 201041
8 201436
9 200826
10 202025
11 201022
12 201120
13
Decontamination of warfare agents : enzymatic methods for the removal of B/C weapons
200819
14 201319
15 201118
16 201018
17 200617
18 200916
19 201016
20 201615

About Marc‐Michael Blum

Marc‐Michael Blum is a scholar working on Molecular Biology, Plant Science, Pollution, Insect Science and Health, Toxicology and Mutagenesis, having authored 32 papers that have together received 829 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (13 papers), Pesticide and Herbicide Environmental Studies (9 papers), Insect and Pesticide Research (6 papers), Paraoxonase enzyme and polymorphisms (5 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers), Alkaline Phosphatase Research Studies (4 papers), Environmental Toxicology and Ecotoxicology (4 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Pollution (192 citations), Clinical Biochemistry (79 citations), Pharmacology (149 citations), Health, Toxicology and Mutagenesis (114 citations) and Plant Science (285 citations). Marc‐Michael Blum has collaborated with scholars based in Germany, United States and South Africa. Frequent co-authors include Harald John, Julian C.‐H. Chen, André Richardt, Heinz Rüterjans, Kai Kehe, Frank Löhr, Horst Thiermann, B. P. Schoenborn, Paul Langan and Franz Worek. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Drug Testing and Analysis, Journal of the American Chemical Society, Toxicology Letters and Analytical Biochemistry.

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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