N. Saha

4.0k citations
91 papers · 3.3k · h-index 25

Impact in

Papers in

    • Hemoglobinopathies and Related Disorders 18
    • Genetic Associations and Epidemiology 8
    • Forensic and Genetic Research 7
    • Blood groups and transfusion 16

N. Saha

89 papers receiving 3.2k citations

Peers

N. Saha
Comparison fields: 5 of 134
  • Endocrinology, Diabetes and Metabolism 938
  • Cancer Research 424
  • Clinical Biochemistry 191
  • Surgery 1.1k
  • Genetics 710
Replace Philippe Touraine with:
Philippe Touraine France
Paul Goodyer Canada
K. Berg Norway
Robert K. Semple United Kingdom
Karlhans Endlich Germany
M. Michael Barmada United States
Ingrid A. Holm United States
Laura J. Scott United States
Pablo Lapunzina Spain
Eleftheria Zeggini United Kingdom
N. Saha relative to Philippe Touraine France Philippe Touraine's profile →
Citations per field
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Citations per year

Countries citing papers authored by N. Saha

Since Specialization
Citations

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

Fields of papers citing papers by N. Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The apolipoprotein E polymorphism: a comparison of allele frequencies and effects in nine populations.
1991438
2 1992436
3 1991321
4 1992288
5 1993187
6
Polynesian genetic affinities with Southeast Asian populations as identified by mtDNA analysis.
1995170
7 1992142
8 199195
9 200780
10 199376
11 199050
12 199449
13 199643
14
Two amino acid substitutions in apolipoprotein B are in complete allelic association with the antigen group (x/y) polymorphism: evidence for little recombination in the 3' end of the human gene.
199240
15 199438
16 199633
17 199433
18 199231
19 199229
20 198828

About N. Saha

N. Saha is a scholar working on Genetics, Hematology, Endocrinology, Diabetes and Metabolism, Genetics and Physiology, having authored 91 papers that have together received 3.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Hemoglobinopathies and Related Disorders (18 papers), Erythrocyte Function and Pathophysiology (17 papers), Blood groups and transfusion (16 papers), Lipoproteins and Cardiovascular Health (16 papers), Neonatal Health and Biochemistry (14 papers), Genetic Associations and Epidemiology (8 papers) and Forensic and Genetic Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (938 citations), Cancer Research (424 citations), Clinical Biochemistry (191 citations), Surgery (1.1k citations) and Genetics (710 citations). N. Saha has collaborated with scholars based in Singapore, India and Sudan. Frequent co-authors include Eric Boerwinkle, Gerd Utermann, C. Sandholzer, J.S.H. Tay, David Hallman, H. Menzel, Chew‐Kiat Heng, Steve E. Humphries, Mark Stoneking and Carolin Lackner. Their work appears in journals such as Human Heredity, American Journal of Physical Anthropology, Clinical Genetics, Annals of Human Biology and Atherosclerosis.

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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