Suresh Subramani

2.0k citations
18 papers · 1.7k indexed · 1 hit paper · h-index 12
Topics
Biomedical Text Mining and Ontologies (5 papers)Bioinformatics and Genomic Networks (4 papers)Polyomavirus and related diseases (4 papers)
Partner nations
United StatesIndia

In The Last Decade

Suresh Subramani

18 papers receiving 1.7k citations

Hit Papers

Firefly Luciferase Gene: Structure and Expression in Mamm...19872026200020131987250500750

Peers

Suresh Subramani
Comparison fields: 5 of 100
  • Molecular Biology 1.2k
  • Genetics 473
  • Immunology 231
  • Oncology 161
  • Epidemiology 138
Replace Masumi Hidaka with:
Masumi Hidaka Japan
Elangovan Boobalan United States
Thomas Albert Germany
Lauriane Fritsch France
Paola Blanchette Canada
Jennifer A. Smith United States
Heimo Riedel United States
Helen Brady United States
Claude Kédinger France
Friedrich Grummt Germany
Suresh Subramani relative to Masumi Hidaka Japan Masumi Hidaka's profile →
Citations per field
00.5×1.5×2.2×
Masumi Hidaka · 1×
Citations per year

Countries citing papers authored by Suresh Subramani

Since Specialization
Citations

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

Fields of papers citing papers by Suresh Subramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suresh Subramani

This figure shows the co-authorship network connecting the top 25 collaborators of Suresh Subramani. A scholar is included among the top collaborators of Suresh Subramani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suresh Subramani. Suresh Subramani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 11
3 11
4 11
5 11
6 9
7 52
8 36
9 112
10 288
11 8
12 12
13
Firefly Luciferase Gene: Structure and Expression in Mammalian Cellsbreakdown →
876
14 65
15 17
16 28
17 94
18 65

About Suresh Subramani

Suresh Subramani is a scholar working on Molecular Biology, Oncology and Orthopedics and Sports Medicine, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Polyomavirus and related diseases (4 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Genetics (473 citations) and Virology (53 citations). Suresh Subramani has collaborated with scholars based in United States and India. Frequent co-authors include Keith V. Wood, Donald R. Helinski, Jeffrey R. de Wet, Marlene DeLuca, Jeffrey E. Rubnitz, Maarten Zijlstra, Rudolf Jaenisch, F Sajjadi, En Li and Paul Berg. Their work appears in journals such as Nature, Molecular and Cellular Biology and FEBS Letters.

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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