B.N. Mukherjee

864 citations
79 papers · 694 · h-index 15

Impact in

  • Genetics top 5%
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Hemoglobinopathies and Related Disorders
    • Genetic and phenotypic traits in livestock
  • Hematology top 10%
    • Blood groups and transfusion
    • Iron Metabolism and Disorders

Papers in

    • Hemoglobinopathies and Related Disorders 14
    • Forensic and Genetic Research 11
    • Genetic diversity and population structure 7
    • Genetic Associations and Epidemiology 6
    • Blood groups and transfusion 18

B.N. Mukherjee

73 papers receiving 620 citations

Peers

B.N. Mukherjee
Comparison fields: 5 of 89
  • Genetics 343
  • Genetics 117
  • Hematology 121
  • Endocrinology, Diabetes and Metabolism 83
  • Anatomy 6
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Citations per year

Countries citing papers authored by B.N. Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by B.N. Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198841
2
Population structure and genetic differentiation among 16 tribal populations of central India.
199638
3 198230
4 198629
5 199326
6 202222
7 198619
8 201918
9 197818
10 197918
11 198617
12 197017
13 198717
14 197016
15 197815
16
Population genetic study in ten endogamous groups of West Bengal, India.
198714
17 199413
18 199013
19 202013
20 198812

About B.N. Mukherjee

B.N. Mukherjee is a scholar working on Genetics, Hematology, Genetics, Endocrinology, Diabetes and Metabolism and Physiology, having authored 79 papers that have together received 694 indexed citations. Recurring topics across this work include Blood groups and transfusion (18 papers), Hemoglobinopathies and Related Disorders (14 papers), Erythrocyte Function and Pathophysiology (12 papers), Forensic and Genetic Research (11 papers), Diabetes Management and Research (10 papers), Genetic diversity and population structure (7 papers), Genetic Associations and Epidemiology (6 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Genetics (343 citations), Genetics (117 citations), Hematology (121 citations), Endocrinology, Diabetes and Metabolism (83 citations) and Anatomy (6 citations). B.N. Mukherjee has collaborated with scholars based in India, Germany and United States. Frequent co-authors include K. C. Malhotra, Partha P. Majumder, Henrik Walter, M. Roy, Swagatam Das, Ranajit Chakraborty, Sudipta Das, Monami Roy, Ranjan Deka and A. K. Roychoudhury. Their work appears in journals such as Human Heredity, American Journal of Physical Anthropology, Annals of Human Biology, Human Genetics and Diabetes Therapy.

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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