E Bois

43 papers receiving 810 citations

Peers

E Bois
Comparison fields: 5 of 89
  • Immunology and Allergy 287
  • Nephrology 144
  • Genetics 119
  • Genetics 277
  • Hematology 98
Replace Gloriosa Go with:
Gloriosa Go United States
Toshiro Takafuta Japan
M. C. Hors‐Cayla France
C McKeown United Kingdom
M D Crawfurd United Kingdom
Pierangela Castorina Italy
M.H. Breuning Netherlands
Laurent Drouot France
William K. Rashbaum United States
Julie K. Hudson United States
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Citations per field
00.5×2.9×
Gloriosa Go · 1×
Citations per year

Countries citing papers authored by E Bois

Since Specialization
Citations

This map shows the geographic impact of E Bois'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 E Bois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Bois more than expected).

Fields of papers citing papers by E Bois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E Bois. 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 E Bois. The network helps show where E Bois may publish in the future.

Co-authors

The 25 scholars most cited alongside E Bois, 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 E Bois Line = papers co-authored together E Bois links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985161
2
A gene for limb-girdle muscular dystrophy maps to chromosome 15 by linkage.
1991126
3
Characteristic ultrastructural lesion of the glomerular basement membrane in progressive hereditary nephritis (Alport's syndrome).
1972123
4
Alport's syndrome: experience at Hôpital Necker.
198281
5 197635
6 197330
7 197827
8 200722
9 197822
10 197519
11 199016
12 197515
13 197815
14 199014
15 198414
16
Genetic susceptibility to leprosy on a Caribbean Island: linkage analysis with five markers.
198913
17 197713
18
[Congenital adrenal hyperplasia (21-OH) in France. Population genetics].
198512
19 197812
20 201011

About E Bois

E Bois is a scholar working on Immunology and Allergy, Genetics, Parasitology, Nephrology and Sensory Systems, having authored 43 papers that have together received 870 indexed citations. Recurring topics across this work include Forensic and Genetic Research (6 papers), Cell Adhesion Molecules Research (4 papers), Herpesvirus Infections and Treatments (4 papers), Biomedical Research and Pathophysiology (4 papers), Renal Diseases and Glomerulopathies (3 papers), Migration, Identity, and Health (3 papers), Renal and related cancers (3 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Immunology and Allergy (287 citations), Nephrology (144 citations), Genetics (119 citations), Genetics (277 citations) and Hematology (98 citations). E Bois has collaborated with scholars based in France, French Guiana and Canada. Frequent co-authors include N Hinglais, J Feingold, J P Grünfeld, Jean‐Pierre Grünfeld, Marie-Claire Gübler, N Feingold, Josué Feingold, M. Broyer, Paul Tchen and Marie‐Louise Briard. Their work appears in journals such as Human Genetics, Annals of Human Biology, Clinical Genetics, Human Heredity and Kidney International.

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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