Maxime Schwartz
Impact in
- Genetics top 1%
- Bacterial Genetics and Biotechnology
- Endocrinology top 5%
Papers in
- Genetics 25
- Bacterial Genetics and Biotechnology 19
- Yersinia bacterium, plague, ectoparasites research 4
-
- RNA and protein synthesis mechanisms 8
- Protein Structure and Dynamics 4
- Co-authors
- Olivier Raibaud (4 shared papers)Anthony P. Pugsley (3 shared papers)Michael N. Hall (3 shared papers)Maurice Hofnung (5 shared papers)Michel Débarbouillé (3 shared papers)Dolph L. Hatfield (4 shared papers)Joëlle E. Gabay (1 shared paper)Thomas J. Silhavy (4 shared papers)
- Journals
- Journal of Molecular Biology (5 papers)Journal of Bacteriology (5 papers)European Journal of Biochemistry (3 papers)Comptes Rendus Biologies (2 papers)Nature (2 papers)
- Partner nations
- FranceUnited StatesSweden
In The Last Decade
Maxime Schwartz
39 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 93
- Genetics 1.5k
- Endocrinology 159
- Molecular Biology 1.8k
- Ecology 670
- Biotechnology 210
Countries citing papers authored by Maxime Schwartz
This map shows the geographic impact of Maxime Schwartz'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 Maxime Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Schwartz more than expected).
Fields of papers citing papers by Maxime Schwartz
This network shows the impact of papers produced by Maxime Schwartz. 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 Maxime Schwartz. The network helps show where Maxime Schwartz may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Schwartz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 335 | |
| 2 | 1982 | 289 | |
| 3 | 1985 | 208 | |
| 4 | 1979 | 131 | |
| 5 | 1980 | 128 | |
| 6 | 1976 | 127 | |
| 7 | 1966 | 119 | |
| 8 | 1979 | 116 | |
| 9 | 1969 | 102 | |
| 10 | 1975 | 81 | |
| 11 | 1974 | 74 | |
| 12 | 1971 | 73 | |
| 13 | 1982 | 68 | |
| 14 | 1971 | 64 | |
| 15 | 1978 | 60 | |
| 16 | 1984 | 53 | |
| 17 | 1977 | 52 | |
| 18 | 1983 | 52 | |
| 19 | 1980 | 47 | |
| 20 | 1976 | 41 |
About Maxime Schwartz
Maxime Schwartz is a scholar working on Genetics, Molecular Biology, Materials Chemistry, Ecology and Endocrinology, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (19 papers), Enzyme Structure and Function (10 papers), Bacteriophages and microbial interactions (9 papers), RNA and protein synthesis mechanisms (8 papers), Escherichia coli research studies (5 papers), Protein Structure and Dynamics (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Genetics (1.5k citations), Endocrinology (159 citations), Molecular Biology (1.8k citations), Ecology (670 citations) and Biotechnology (210 citations). Maxime Schwartz has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Olivier Raibaud, Anthony P. Pugsley, Michael N. Hall, Maurice Hofnung, Michel Débarbouillé, Dolph L. Hatfield, Joëlle E. Gabay, Thomas J. Silhavy, Sankar Adhya and Michèle Roa. Their work appears in journals such as Journal of Molecular Biology, Journal of Bacteriology, European Journal of Biochemistry, Comptes Rendus Biologies and Nature.
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.