Dilip Kumar Sinha

1.2k citations
41 papers · 605 · h-index 13

Impact in

Papers in

    • Cancer Cells and Metastasis 8
    • Cancer Risks and Factors 5
    • Estrogen and related hormone effects 5

Dilip Kumar Sinha

37 papers receiving 527 citations

Peers

Dilip Kumar Sinha
Comparison fields: 5 of 108
  • Nutrition and Dietetics 138
  • Cancer Research 125
  • Genetics 171
  • Health, Toxicology and Mutagenesis 80
  • Oncology 152
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Citations per year

Countries citing papers authored by Dilip Kumar Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Dilip Kumar Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dilip Kumar Sinha. 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 Dilip Kumar Sinha. The network helps show where Dilip Kumar Sinha may publish in the future.

Co-authors

The 22 scholars most cited alongside Dilip Kumar Sinha, 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 Dilip Kumar Sinha Line = papers co-authored together Dilip Kumar Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhancement of mammary tumorigenesis by dietary selenium deficiency in rats with a high polyunsaturated fat intake.
198189
2 198165
3
Effect of estrogen and progesterone on cellular replication of human breast tumors.
198254
4
The nature of estrogen and prolactin effect on mammary tumorigenesis.
197349
5 197442
6 198841
7 198832
8 197224
9
Induction of mammary tumors in aging rats by 7,12-dimethylbenz[a]anthracene: role of DNA synthesis during carcinogenesis.
198021
10 200017
11 198115
12 197214
13 197712
14 198512
15 19829
16 19819
17 19799
18 19728
19 19668
20 19817

About Dilip Kumar Sinha

Dilip Kumar Sinha is a scholar working on Oncology, Genetics, Mechanics of Materials, Psychiatry and Mental health and Molecular Biology, having authored 41 papers that have together received 605 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Estrogen and related hormone effects (5 papers), Cancer Risks and Factors (5 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Gas Dynamics and Kinetic Theory (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Nutrition and Dietetics (138 citations), Cancer Research (125 citations), Genetics (171 citations), Health, Toxicology and Mutagenesis (80 citations) and Oncology (152 citations). Dilip Kumar Sinha has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Clement Ip, Thomas L. Dao, David S. Cooper, Takayuki Nemoto, Eleanor G. Rogan, Ercole L. Cavalieri, Prabir Chakravarty, Hiroki Koyama, J. Meites and Santanu Ray. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer Letters, Pure and Applied Geophysics, Zeitschrift für angewandte Mathematik und Physik and Endocrinology.

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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