Beerelli Seshi

657 citations
23 papers · 403 indexed · h-index 11

Impact in

Papers in

    • Mesenchymal stem cell research 4
    • Blood disorders and treatments 2
    • Acute Myeloid Leukemia Research 2
    • Hematopoietic Stem Cell Transplantation 2

Beerelli Seshi

22 papers receiving 392 citations

Peers

Beerelli Seshi
Comparison fields: 5 of 78
  • Genetics 116
  • Developmental Neuroscience 19
  • Aging 7
  • Hematology 41
  • Immunology 60
Replace Malcolm A. Meyn with:
Malcolm A. Meyn United States
Sierra H. Root United States
Marek Masiuk Poland
Leena Bhaw United Kingdom
Tsuyoshi Fujioka Japan
Pengzhi Yu United States
Miyuki Ono Japan
Kevin R. Gillinder Australia
Satish Khurana India
Ngaire Elwood Australia
Beerelli Seshi relative to Malcolm A. Meyn United States Malcolm A. Meyn's profile →
Citations per field
00.5×3.2×
Malcolm A. Meyn · 1×
Citations per year

Countries citing papers authored by Beerelli Seshi

Since Specialization
Citations

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

Fields of papers citing papers by Beerelli Seshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Beerelli Seshi, 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 Beerelli Seshi Line = papers co-authored together Beerelli Seshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20120
2 20116
3 200918
4 20081
5 200711
6 200647
7 200364
8 200099
9 199824
10 199616
11 19945
12 19944
13 199410
14 19941
15 199210
16
Immunohistochemical characterization of a set of monoclonal antibodies to human neuron-specific enolase.
198824
17 19872
18 198731
19 198615
20 19858

About Beerelli Seshi

Beerelli Seshi is a scholar working on Genetics, Hematology, Immunology and Allergy, Spectroscopy and Virology, having authored 23 papers that have together received 403 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Mesenchymal stem cell research (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Acute Myeloid Leukemia Research (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Blood disorders and treatments (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Genetics (116 citations), Developmental Neuroscience (19 citations), Aging (7 citations), Hematology (41 citations) and Immunology (60 citations). Beerelli Seshi has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Sanjay Kumar, D. S. King, Sanjay Kumar, Bulbul Chakravarti, Deb N. Chakravarti, John A. Kirchner, Clarence T. Sasaki, Lawrence D. True, Juan Rosaí and D. Carter. Their work appears in journals such as PROTEOMICS, Blood, Blood Cells Molecules and Diseases, British Journal of Haematology and Brain Research.

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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