Joshi-Tope Geeta

2.9k citations
4 papers · 1.4k indexed · 1 hit paper · h-index 4
Topics
Bioinformatics and Genomic Networks (4 papers)Microbial Metabolic Engineering and Bioproduction (2 papers)Biomedical Text Mining and Ontologies (2 papers)

In The Last Decade

Joshi-Tope Geeta

4 papers receiving 1.4k citations

Hit Papers

Reactome: a knowledgebase of biological pathways20042026201120182004250500750

Peers

Joshi-Tope Geeta
Comparison fields: 5 of 114
  • Molecular Biology 1.2k
  • Computational Theory and Mathematics 196
  • Genetics 144
  • Cancer Research 117
  • Immunology 71
Replace David Croft with:
David Croft United Kingdom
Bijay Jassal United Kingdom
Marc Gillespie United States
Andrew Winter United Kingdom
Imre Västrik Finland
Andra Waagmeester Netherlands
Marta Iannuccelli Italy
Janos X. Binder Germany
Robert Petryszak United Kingdom
Daniele Peluso Italy
Joshi-Tope Geeta relative to David Croft United Kingdom David Croft's profile →
Citations per field
00.5×1.5×1.8×
David Croft · 1×
Citations per year

Countries citing papers authored by Joshi-Tope Geeta

Since Specialization
Citations

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

Fields of papers citing papers by Joshi-Tope Geeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshi-Tope Geeta. 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 Joshi-Tope Geeta. The network helps show where Joshi-Tope Geeta may publish in the future.

Co-authorship network of co-authors of Joshi-Tope Geeta

This figure shows the co-authorship network connecting the top 25 collaborators of Joshi-Tope Geeta. A scholar is included among the top collaborators of Joshi-Tope Geeta 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 Joshi-Tope Geeta. Joshi-Tope Geeta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Joshi-Tope Geeta

Joshi-Tope Geeta is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases, having authored 4 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Computational Theory and Mathematics (196 citations) and Aging (15 citations). Joshi-Tope Geeta has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Peter D’Eustachio, Imre Västrik, Bijay Jassal, Esther Schmidt, Ewan Birney, Lincoln Stein, Gopal Gopinath, Guanming Wu, Lisa Matthews and Marc Gillespie. Their work appears in journals such as Nucleic Acids Research, Genome biology and Cold Spring Harbor Symposia on Quantitative Biology.

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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