N Feingold

1.9k citations
81 papers · 1.3k indexed · h-index 19

N Feingold

78 papers receiving 1.2k citations

Peers

N Feingold
Comparison fields: 5 of 98
  • Immunology 306
  • Transplantation 36
  • Hematology 149
  • Genetics 130
  • Cell Biology 167
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Citations per year

Countries citing papers authored by N Feingold

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with N Feingold Line = papers co-authored together N Feingold links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Genetic Markers in Chronic Air-flow Limitation
20150
2 199815
3 199716
4 1996140
5 19957
6 199367
7 198726
8 19871
9 198412
10 198110
11
[Comparative study of anti EBV antibodies in non-Hodgkin's lymphomams and angio-immunoblastic lymphadenopathies (author's transl)].
19792
12 197515
13 197511
14
Maladie de Hodgkin: essai d'évaluation du rôle joué par l'appendicectomie et l'amygdalectomie.
19731
15
Enhancement of virus-induced leukemias and sarcomas in F 1 hybrid mice inoculated with parental spleen cells.
19739
16
Phénomènes d'association dans une population.
19722
17 197166
18
Gènes majeurs, gènes modificateurs et effets du milieu dans la myopathie de Duchenne de Boulogne.
19714
19
The HL-A system sub-loci and their importance in transplantation.
196922
20
Indépendance du système d'histocompatibilité HL-A et des systèmes de groupes des bêta-lipoprotéines Lp et Ag.
19681

About N Feingold

N Feingold is a scholar working on Immunology and Allergy, Transplantation, Hematology, Immunology and Genetics, 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), Chronic Lymphocytic Leukemia Research (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Genetic Neurodegenerative Diseases (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, Dominique Hillaire, J. Beckmann, Isabelle Richard, 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.

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