B. Kerem

704 citations
12 papers · 456 indexed · h-index 9

Impact in

Papers in

B. Kerem

12 papers receiving 444 citations

Peers

B. Kerem
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 145
  • Pulmonary and Respiratory Medicine 187
  • Genetics 56
  • Molecular Biology 237
  • Genetics 55
Replace Taro Matsuoka with:
Taro Matsuoka Japan
Elke Hobbiebrunken Germany
Royston Ong Australia
Janine Smith Australia
Margaret N. Berry United States
Justin D. Wagner Canada
Maria Accadia Italy
Muriel Durand France
W H Finley United States
Melanie Chan United Kingdom
B. Kerem relative to Taro Matsuoka Japan Taro Matsuoka's profile →
Citations per field
00.5×2.7×
Taro Matsuoka · 1×
Citations per year

Countries citing papers authored by B. Kerem

Since Specialization
Citations

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

Fields of papers citing papers by B. Kerem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2000144
2
The molecular basis of partial penetrance of splicing mutations in cystic fibrosis.
1997135
3 198543
4 199530
5 199422
6
Cystic fibrosis mutations in North American populations of French ancestry: analysis of Quebec French-Canadian and Louisiana Acadian families.
199022
7
Physical localization of two DNA markers closely linked to the cystic fibrosis locus by pulsed-field gel electrophoresis.
198919
8 199118
9 199311
10 20036
11 19965
12
Genetic evidence for heterogeneity in the etiology of CBAVD: Haplotype analysis in families
19941

About B. Kerem

B. Kerem is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics, having authored 12 papers that have together received 456 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (9 papers), Neonatal Respiratory Health Research (7 papers), Tracheal and airway disorders (4 papers), Cardiac electrophysiology and arrhythmias (1 paper), Ion channel regulation and function (1 paper), Chromatin Remodeling and Cancer (1 paper), Genomics and Chromatin Dynamics (1 paper) and Legume Nitrogen Fixing Symbiosis (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (145 citations), Pulmonary and Respiratory Medicine (187 citations), Genetics (56 citations), Molecular Biology (237 citations) and Genetics (55 citations). B. Kerem has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Jesaia Benhorin, Maya Goldmit, Robert S. Kass, Aharon Medina, Eitan Kerem, Arie Augarten, Ran Goshen, Arye Hurwitz, Ariel Darvasi and Naama Rave-Harel. Their work appears in journals such as Chromosoma, The American Journal of Human Genetics, Pediatric Pulmonology, Advances in experimental medicine and biology and Clinical Chemistry.

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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