TS Ganesan

1.1k citations
23 papers · 942 indexed · h-index 14

TS Ganesan

23 papers receiving 890 citations

Peers

TS Ganesan
Comparison fields: 5 of 60
  • Reproductive Medicine 228
  • Hematology 215
  • Genetics 191
  • Pathology and Forensic Medicine 169
  • Public Health, Environmental and Occupational Health 230
Replace AA Bartolucci with:
AA Bartolucci United States
M. J. Lacombe France
Hyun S. Shvartsman United States
Hans‐Heinrich Wacker Germany
Regina Kunzmann Germany
Michele De Nictolis Italy
Angelo Tocci Italy
Christine Hoyle United Kingdom
Eveline J. Kamping Netherlands
TS Ganesan relative to AA Bartolucci United States AA Bartolucci's profile →
Citations per field
00.5×
AA Bartolucci · 1×
Citations per year

Countries citing papers authored by TS Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by TS Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside TS Ganesan, 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 TS Ganesan Line = papers co-authored together TS Ganesan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200511
2 20051
3 20051
4 200220
5 19989
6
Molecular approaches to diagnosis and management of ovarian cancer
19973
7 199625
8 199586
9 199575
10 1994324
11 199334
12 199330
13 19922
14 19928
15 199021
16 198786
17 198719
18 19871
19 198676
20 198638

About TS Ganesan

TS Ganesan is a scholar working on Reproductive Medicine, Genetics, Hematology, Pathology and Forensic Medicine and Cancer Research, having authored 23 papers that have together received 942 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Treatment and Pharmacology (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Reproductive Medicine (228 citations), Hematology (215 citations), Genetics (191 citations), Pathology and Forensic Medicine (169 citations) and Public Health, Environmental and Occupational Health (230 citations). TS Ganesan has collaborated with scholars based in United Kingdom. Frequent co-authors include Margaret O’Brien, Nigel P. Groome, Inez Cooke, Peter Illingworth, Alan S. McNeilly, David T. Baird, Andrew N. Shelling, AP Guo, Feyruz V. Rassool and F. M. Charnock. Their work appears in journals such as British Journal of Cancer, Journal of Clinical Oncology, Annals of Oncology, Blood and International Journal of Gynecological Cancer.

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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