N Feingold
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Transplantation top 10%
Papers in
- Immunology 15
- Co-authors
- J Dausset (15 shared papers)J Feingold (6 shared papers)E Bois (11 shared papers)Isabelle Richard (2 shared papers)Dominique Hillaire (2 shared papers)J. Beckmann (2 shared papers)J Hors (9 shared papers)P Druet (2 shared papers)
- Journals
- Human Genetics (4 papers)Annals of Human Genetics (2 papers)Human Heredity (2 papers)International Journal of Cancer (2 papers)Genetic Epidemiology (2 papers)
- Partner nations
- FranceFrench GuianaCanada
In The Last Decade
N Feingold
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Immunology 306
- Transplantation 36
- Hematology 149
- Genetics 130
- Cell Biology 167
Countries citing papers authored by N Feingold
This map shows the geographic impact of N Feingold'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 N Feingold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Feingold more than expected).
Fields of papers citing papers by N Feingold
This network shows the impact of papers produced by N Feingold. 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 N Feingold. The network helps show where N Feingold may publish in the future.
Co-authors
The 25 scholars most cited alongside N Feingold, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 140 | |
| 2 | A gene for limb-girdle muscular dystrophy maps to chromosome 15 by linkage. | 1991 | 126 |
| 3 | 1977 | 102 | |
| 4 | 1993 | 67 | |
| 5 | 1971 | 66 | |
| 6 | 1983 | 45 | |
| 7 | 1976 | 45 | |
| 8 | 1978 | 37 | |
| 9 | 1996 | 35 | |
| 10 | 1984 | 32 | |
| 11 | 1978 | 27 | |
| 12 | 1987 | 26 | |
| 13 | 1971 | 26 | |
| 14 | 1981 | 25 | |
| 15 | 1996 | 24 | |
| 16 | The HL-A system sub-loci and their importance in transplantation. | 1969 | 22 |
| 17 | 1978 | 22 | |
| 18 | 1995 | 21 | |
| 19 | 1996 | 18 | |
| 20 | 1984 | 18 |
About N Feingold
N Feingold is a scholar working on Molecular Biology, Immunology, Genetics, Hematology and Surgery, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (7 papers), Blood groups and transfusion (6 papers), Diabetes and associated disorders (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Multiple and Secondary Primary Cancers (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). The work is most often cited by research in Immunology (306 citations), Transplantation (36 citations), Hematology (149 citations), Genetics (130 citations) and Cell Biology (167 citations). N Feingold has collaborated with scholars based in France, French Guiana and Canada. Frequent co-authors include J Dausset, J Feingold, E Bois, Isabelle Richard, Dominique Hillaire, J. Beckmann, J Hors, P Druet, E. Günther and Catherine Sapin. Their work appears in journals such as Human Genetics, Annals of Human Genetics, Human Heredity, International Journal of Cancer and Genetic Epidemiology.
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.