J. C. Bear

2.3k citations
39 papers · 1.7k · h-index 22

Impact in

  • Genetics top 2%
    • Genetic and Kidney Cyst Diseases
    • Genetic Syndromes and Imprinting
    • Diabetes and associated disorders
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies

Papers in

J. C. Bear

38 papers receiving 1.6k citations

Peers

J. C. Bear
Comparison fields: 5 of 127
  • Genetics 875
  • Nephrology 111
  • Endocrinology, Diabetes and Metabolism 192
  • Pediatrics, Perinatology and Child Health 204
  • Epidemiology 218
Replace Andrew Bakshi with:
Andrew Bakshi Australia
James G. Wilson United States
Nao Nishida Japan
Max P. Baur Germany
S. W. Serjeantson Australia
Jörg Schmidtke Germany
Päivi Onkamo Finland
Suraksha Agrawal India
Howard P. Levy United States
Hanan Hamamy Switzerland
J. C. Bear relative to Andrew Bakshi Australia Andrew Bakshi's profile →
Citations per field
00.5×3.8×
Andrew Bakshi · 1×
Citations per year

Countries citing papers authored by J. C. Bear

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Bear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Bear. 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 J. C. Bear. The network helps show where J. C. Bear may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990263
2 1976132
3 1984124
4 1985115
5 1980110
6 1984107
7 1981103
8 199276
9 200163
10 198761
11 198142
12 197540
13 198236
14 198833
15 198732
16 198632
17 197631
18 198329
19 198028
20 199025

About J. C. Bear

J. C. Bear is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Epidemiology, Immunology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), Ophthalmology and Visual Impairment Studies (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Prenatal Screening and Diagnostics (4 papers), Spondyloarthritis Studies and Treatments (3 papers), Cleft Lip and Palate Research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Genetics (875 citations), Nephrology (111 citations), Endocrinology, Diabetes and Metabolism (192 citations), Pediatrics, Perinatology and Child Health (204 citations) and Epidemiology (218 citations). J. C. Bear has collaborated with scholars based in Canada, Australia and United Kingdom. Frequent co-authors include Nadir R. Farid, David Churchill, Janet Morgan, P J McManamon, B. Cramer, M.H. Gault, R. H. Payne, László Kozma, John C. Loehlin and Michael Banton. Their work appears in journals such as Optometry and Vision Science, Clinical Genetics, International Journal of Immunogenetics, Journal of Biosocial Science and Diabetologia.

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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