Ganesan Srinivasan

866 citations
18 papers · 756 indexed · h-index 15
Topics
Estrogen and related hormone effects (6 papers)Viral Infectious Diseases and Gene Expression in Insects (3 papers)Steroid Chemistry and Biochemistry (3 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

Ganesan Srinivasan

18 papers receiving 743 citations

Peers

Ganesan Srinivasan
Comparison fields: 5 of 89
  • Molecular Biology 521
  • Genetics 296
  • Endocrinology, Diabetes and Metabolism 98
  • Cancer Research 84
  • Oncology 83
Replace Gernot Langer with:
Gernot Langer Germany
A. Rotondi Italy
Sharon F. Baker United Kingdom
Susan Young United States
Phillip Dicker United Kingdom
Yvonne Ziegler United States
Jane McPheat United Kingdom
Arif Jivan United States
Daniel A. Mercola United States
Ganesan Srinivasan relative to Gernot Langer Germany Gernot Langer's profile →
Citations per field
00.5×1.6×
Gernot Langer · 1×
Citations per year

Countries citing papers authored by Ganesan Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Ganesan Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesan Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesan Srinivasan. A scholar is included among the top collaborators of Ganesan Srinivasan 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 Ganesan Srinivasan. Ganesan Srinivasan 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 90
2 2
3 60
4 145
5 25
6 16
7 50
8 18
9 29
10 33
11
Expression of hemidesmosomes and component proteins is lost by invasive breast cancer cells.
60
12 38
13 9
14
Characterization of the human oxysterol receptor overexpressed in the baculovirus system.
7
15 14
16 35
17 54
18 71

About Ganesan Srinivasan

Ganesan Srinivasan is a scholar working on Immunology and Allergy, Physical and Theoretical Chemistry and Molecular Biology, having authored 18 papers that have together received 756 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Steroid Chemistry and Biochemistry (3 papers). The work is most often cited by research in Genetics (296 citations), Molecular Biology (521 citations) and Endocrinology, Diabetes and Metabolism (98 citations). Ganesan Srinivasan has collaborated with scholars based in United States, Japan and France. Frequent co-authors include E. Brad Thompson, D. Wayne Bolen, Ilia V. Baskakov, Yanshan Ji, Praveen Kumar, George F. Allan, Sophia Y. Tsai, Bert W. O’Malley, Ming‐Jer Tsai and Raj Kumar. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Oncogene.

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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