Suresh Subramani

2.0k total citations · 1 hit paper
18 papers, 1.7k citations indexed

About

Suresh Subramani is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Suresh Subramani has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Genetics. Recurrent topics in Suresh Subramani's work include Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Polyomavirus and related diseases (4 papers). Suresh Subramani is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Polyomavirus and related diseases (4 papers). Suresh Subramani collaborates with scholars based in United States and India. Suresh Subramani's co-authors include Keith V. Wood, Donald R. Helinski, Jeffrey R. de Wet, Marlene DeLuca, Jeffrey E. Rubnitz, Rudolf Jaenisch, Maarten Zijlstra, En Li, F Sajjadi and Paul Berg and has published in prestigious journals such as Nature, Molecular and Cellular Biology and FEBS Letters.

In The Last Decade

Suresh Subramani

18 papers receiving 1.7k citations

Hit Papers

Firefly Luciferase Gene: ... 1987 2026 2000 2013 1987 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suresh Subramani United States 12 1.2k 473 231 161 138 18 1.7k
Claude Kédinger France 24 1.3k 1.1× 468 1.0× 196 0.8× 278 1.7× 67 0.5× 38 1.6k
Chris Kingsley United States 11 1.3k 1.1× 250 0.5× 281 1.2× 237 1.5× 109 0.8× 14 1.9k
Orr Ashenberg United States 19 1.3k 1.1× 540 1.1× 363 1.6× 230 1.4× 117 0.8× 22 2.0k
Edio Maldonado Chile 19 1.7k 1.4× 255 0.5× 182 0.8× 159 1.0× 156 1.1× 36 2.1k
G E Mark United States 21 1.3k 1.1× 358 0.8× 294 1.3× 339 2.1× 226 1.6× 32 2.0k
Kathryn Radke United States 19 1.0k 0.8× 493 1.0× 459 2.0× 154 1.0× 129 0.9× 31 1.7k
Maciej Kotecki United States 13 1.0k 0.8× 272 0.6× 165 0.7× 207 1.3× 72 0.5× 23 1.4k
Lon Phan United States 22 1.6k 1.3× 286 0.6× 99 0.4× 99 0.6× 159 1.2× 30 2.0k
Stéphanie Pébernard Switzerland 17 1.7k 1.4× 362 0.8× 231 1.0× 272 1.7× 156 1.1× 25 2.0k
Marco R. Soria Italy 24 1.0k 0.8× 289 0.6× 707 3.1× 158 1.0× 108 0.8× 54 1.8k

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
1.
Subramani, Suresh, Jubie Selvaraj, & Jawahar Natarajan. (2023). Chemopreventive Potential of Phytoestrogens on Hormone-Sensitive Cancer - An Updated Review. Journal of Natural Remedies. 23–33. 1 indexed citations
2.
Kumar, Venkatesan Sampath, et al.. (2019). Factors affecting compliance to hospital visit among clubfoot patients: A cross-sectional study from a tertiary referral clubfoot clinic in the developing country. Journal of orthopaedic surgery. 27(1). 615485886–615485886. 11 indexed citations
3.
Subramani, Suresh, et al.. (2015). HPIminer: A text mining system for building and visualizing human protein interaction networks and pathways. Journal of Biomedical Informatics. 54. 121–131. 11 indexed citations
4.
Raja, Kalpana, Suresh Subramani, & Jeyakumar Natarajan. (2014). A hybrid named entity tagger for tagging human proteins/genes. International Journal of Data Mining and Bioinformatics. 10(3). 315–315. 11 indexed citations
5.
Subramani, Suresh, et al.. (2013). HomoKinase: A Curated Database of Human Protein Kinases. 2013. 1–5. 11 indexed citations
6.
Subramani, Suresh, et al.. (2013). ProNormz – An integrated approach for human proteins and protein kinases normalization. Journal of Biomedical Informatics. 47. 131–138. 9 indexed citations
7.
Raja, Kalpana, Suresh Subramani, & Jeyakumar Natarajan. (2013). PPInterFinder—a mining tool for extracting causal relations on human proteins from literature. Database. 2013. bas052–bas052. 52 indexed citations
8.
Subramani, Suresh. (1996). Convergence of model systems for peroxisome biogenesis. Current Opinion in Cell Biology. 8(4). 513–518. 36 indexed citations
9.
Swinkels, Bart W., Stephen J. Gould, & Suresh Subramani. (1992). Targeting efficiencies of various permutations of the consensus C‐terminal tripeptide peroxisomal targeting signal. FEBS Letters. 305(2). 133–136. 112 indexed citations
10.
Zijlstra, Maarten, En Li, F Sajjadi, Suresh Subramani, & Rudolf Jaenisch. (1989). Germ-line transmission of a disrupted β2microglobulin gene produced by homologous recombination in embryonic stem cells. Nature. 342(6248). 435–438. 288 indexed citations
11.
Subramani, Suresh, et al.. (1989). Human papovavirus BK early gene regulation in nonpermissive cells. Virology. 169(2). 385–396. 12 indexed citations
12.
Subramani, Suresh. (1989). Analysis of recombination in mammalian cells using SV40 and SV40-derived vectors. Mutation Research/Reviews in Genetic Toxicology. 220(2-3). 221–234. 8 indexed citations
13.
Wet, Jeffrey R. de, Keith V. Wood, Marlene DeLuca, Donald R. Helinski, & Suresh Subramani. (1987). Firefly Luciferase Gene: Structure and Expression in Mammalian Cells. Molecular and Cellular Biology. 7(2). 725–737. 876 indexed citations breakdown →
14.
Peabody, David S., Suresh Subramani, & Paul Berg. (1986). Effect of Upstream Reading Frames on Translation Efficiency in Simian Virus 40 Recombinants. Molecular and Cellular Biology. 6(7). 2704–2711. 65 indexed citations
15.
Rubnitz, Jeffrey E. & Suresh Subramani. (1986). Extrachromosomal and Chromosomal Gene Conversion in Mammalian Cells. Molecular and Cellular Biology. 6(5). 1608–1614. 17 indexed citations
16.
Rubnitz, Jeffrey E. & Suresh Subramani. (1985). Rapid Assay for Extrachromosomal Homologous Recombination in Monkey Cells. Molecular and Cellular Biology. 5(3). 529–537. 28 indexed citations
17.
Rubnitz, Jeffrey E. & Suresh Subramani. (1984). The Minimum Amount of Homology Required for Homologous Recombination in Mammalian Cells. Molecular and Cellular Biology. 4(11). 2253–2258. 94 indexed citations
18.
Subramani, Suresh & Paul Berg. (1983). Homologous and Nonhomologous Recombination in Monkey Cells. Molecular and Cellular Biology. 3(6). 1040–1052. 65 indexed citations

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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