N Feingold

1.9k citations
82 papers · 1.6k · h-index 21

Impact in

Papers in

    • Genetic Associations and Epidemiology 8
    • Forensic and Genetic Research 3
    • Hemoglobinopathies and Related Disorders 3
    • Renal Transplantation Outcomes and Treatments 3

N Feingold

77 papers receiving 1.4k citations

Peers

N Feingold
Comparison fields: 5 of 52
  • Transplantation 45
  • Molecular Biology 407
  • Genetics 185
  • Genetics 50
  • Immunology 94
Replace V. Lepage with:
V. Lepage France
Herv� Betuel France
Nollaig A. Parfrey Ireland
Susan J. Faas United States
G. Hauptmann France
Ram Pyare Singh United States
Antonio Nieto Spain
Peter Pfeffer New Zealand
Christoph J. Mache Austria
Marius J. Giphart Netherlands
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Citations per field
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V. Lepage · 1×
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-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.

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

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994174
2 1996161
3
A gene for limb-girdle muscular dystrophy maps to chromosome 15 by linkage.
1991133
4 1977115
5 199376
6 197169
7 197648
8 198348
9 197841
10 198440
11 199634
12 197129
13 197828
14 198126
15 198726
16 199526
17
The HL-A system sub-loci and their importance in transplantation.
196924
18 199623
19 197822
20
[The sub-loci of the HL-A system. The main system of histocompatibility in man].
196921

About N Feingold

N Feingold is a scholar working on Genetics, Transplantation, Genetics, Pathology and Forensic Medicine and Oncology, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Muscle Physiology and Disorders (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Forensic and Genetic Research (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Transplantation (45 citations), Molecular Biology (407 citations), Genetics (185 citations), Genetics (50 citations) and Immunology (94 citations). N Feingold has collaborated with scholars based in France, United States and Canada. Frequent co-authors include J Feingold, Jean B. Dausset, Etienne P. Bois, Dominique Hillaire, Jacques Samuel Beckmann, Isabelle Richard, JACQUES HORS, Philippe Druet, Eberhard Günther and Catherine Sapin. Their work appears in journals such as Human Genetics, Blood, European Journal of Immunology, Human Heredity and International Journal of Cancer.

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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