M Jacrot
Impact in
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Oncology 14
- Lung Cancer Research Studies 9
- Cancer Treatment and Pharmacology 4
- Co-authors
- J Riondel (9 shared papers)Christian Brambilla (5 shared papers)Sylvie Gazzéri (3 shared papers)Élisabeth Brambilla (5 shared papers)D Moro (2 shared papers)Dominique Leroux (3 shared papers)Daniel Birnbaum (2 shared papers)Cornel Popovici (2 shared papers)
- Journals
- Lung Cancer (3 papers)Cancer (2 papers)Scandinavian Journal of Clinical and Laboratory Investigation (1 paper)Biological Trace Element Research (1 paper)Oncogene (1 paper)
- Partner nations
- FranceUnited StatesHungary
In The Last Decade
M Jacrot
31 papers receiving 792 citations
Peers
Comparison fields: 5 of 74
- Oncology 339
- Genetics 101
- Hematology 102
- Rheumatology 111
- Cell Biology 114
Countries citing papers authored by M Jacrot
This map shows the geographic impact of M Jacrot'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 M Jacrot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Jacrot more than expected).
Fields of papers citing papers by M Jacrot
This network shows the impact of papers produced by M Jacrot. 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 M Jacrot. The network helps show where M Jacrot may publish in the future.
Co-authors
The 25 scholars most cited alongside M Jacrot, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 133 | |
| 2 | Immunohistochemical study of p53 in human lung carcinomas. | 1993 | 96 |
| 3 | 1998 | 86 | |
| 4 | 1991 | 71 | |
| 5 | 1986 | 66 | |
| 6 | 1993 | 57 | |
| 7 | 1998 | 52 | |
| 8 | Effects of free and liposome-encapsulated taxol on two brain tumors xenografted into nude mice. | 1992 | 43 |
| 9 | 1987 | 41 | |
| 10 | 1993 | 30 | |
| 11 | 1995 | 18 | |
| 12 | Antineoplastic activity of two taxol derivatives on an ovarian tumor xenografted into nude mice. | 1988 | 18 |
| 13 | 1990 | 16 | |
| 14 | 1995 | 14 | |
| 15 | 1995 | 13 | |
| 16 | 1991 | 9 | |
| 17 | 1994 | 9 | |
| 18 | 1987 | 9 | |
| 19 | 1989 | 8 | |
| 20 | 1997 | 8 |
About M Jacrot
M Jacrot is a scholar working on Molecular Biology, Oncology, Epidemiology, Genetics and Neurology, having authored 31 papers that have together received 824 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (9 papers), Neuroendocrine Tumor Research Advances (8 papers), Cancer Treatment and Pharmacology (4 papers), Microtubule and mitosis dynamics (3 papers), Neuroblastoma Research and Treatments (3 papers), Estrogen and related hormone effects (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Oncology (339 citations), Genetics (101 citations), Hematology (102 citations), Rheumatology (111 citations) and Cell Biology (114 citations). M Jacrot has collaborated with scholars based in France, United States and Hungary. Frequent co-authors include J Riondel, Christian Brambilla, Sylvie Gazzéri, Élisabeth Brambilla, D Moro, Dominique Leroux, Daniel Birnbaum, Cornel Popovici, José Adélaı̈de and Max Chaffanet. Their work appears in journals such as Lung Cancer, Cancer, Scandinavian Journal of Clinical and Laboratory Investigation, Biological Trace Element Research and Oncogene.
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.