S.S. Papiha

27 papers receiving 537 citations

Peers

S.S. Papiha
Comparison fields: 5 of 73
  • Orthopedics and Sports Medicine 83
  • Pathology and Forensic Medicine 120
  • Genetics 171
  • Rheumatology 49
  • Endocrinology, Diabetes and Metabolism 51
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Aida I. Al‐Aqeel Saudi Arabia
Rivka Dresner Pollak Israel
Ellen L. Simpson United States
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Soizik Berlivet Canada
Ghada A. Otaify Egypt
Abigail Samuels United Kingdom
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Citations per year

Countries citing papers authored by S.S. Papiha

Since Specialization
Citations

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

Fields of papers citing papers by S.S. Papiha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic variation in India.
199677
2 199763
3 199962
4 199254
5 198843
6 199940
7
Population structure and genetic differentiation among 16 tribal populations of central India.
199637
8 199030
9 199827
10
Linkage to D3S47 (C17) in one large autosomal dominant retinitis pigmentosa family and exclusion in another: confirmation of genetic heterogeneity.
199025
11
Red cell enzyme polymorphisms in Ceylon Sinhalese.
197223
12 198520
13 198817
14 198914
15 19897
16 19866
17 19886
18 19915
19 19925
20 19964

About S.S. Papiha

S.S. Papiha is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Genetics, Cell Biology and Molecular Biology, having authored 28 papers that have together received 583 indexed citations. Recurring topics across this work include Retinal Development and Disorders (4 papers), Forensic and Genetic Research (4 papers), Vitamin D Research Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genetic diversity and population structure (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Photoreceptor and optogenetics research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (83 citations), Pathology and Forensic Medicine (120 citations), Genetics (171 citations), Rheumatology (49 citations) and Endocrinology, Diabetes and Metabolism (51 citations). S.S. Papiha has collaborated with scholars based in United Kingdom, Australia and Sri Lanka. Frequent co-authors include Roger M. Francis, Harish K. Datta, Badal Pal, Frances Harrington, Harish K. Datta, R. M. Francis, Satya S. Varanasi, Christine E. M. Berger, G. E. Murty and Pat Kendall-Taylor. Their work appears in journals such as Human Heredity, Clinical Endocrinology, Annals of the Rheumatic Diseases, Genomics and Human Genetics.

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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