S. C. Bansal

1.7k citations
23 papers · 1.4k indexed · 1 hit paper · h-index 14

S. C. Bansal

23 papers receiving 1.1k citations

Hit Papers

Suggestive Evidence That the “Blocking Antibodies” of Tum...19712026198920071971100200300400500

Peers

S. C. Bansal
Comparison fields: 5 of 88
  • Immunology 831
  • Oncology 365
  • Molecular Biology 302
  • Radiology, Nuclear Medicine and Imaging 266
  • Epidemiology 134
Replace Shigeyoshi Fujimoto with:
Shigeyoshi Fujimoto Japan
John J. Farrar United States
Nancy Wedel United States
David S. Terman United States
E W Lamon United States
S. Kishimoto Japan
Jacob Zighelboim United States
Ina S. Klasen Netherlands
A Mazumder United States
Moshe Glaser United States
S. C. Bansal relative to Shigeyoshi Fujimoto Japan Shigeyoshi Fujimoto's profile →
Citations per field
00.5×1.7×
Shigeyoshi Fujimoto · 1×
Citations per year

Countries citing papers authored by S. C. Bansal

Since Specialization
Citations

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

Fields of papers citing papers by S. C. Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. C. Bansal. 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 S. C. Bansal. The network helps show where S. C. Bansal may publish in the future.

Co-authorship network of co-authors of S. C. Bansal

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 13
3 18
4 2
5
Effects of diet on colon carcinogenesis and the immune system in rats treated with 1,2-dimethylhydrazine.
38
6 5
7 9
8 16
9 13
10 30
11 4
12 18
13 58
14 9
15 20
16 80
17 152
18 91
19
Suggestive Evidence That the “Blocking Antibodies” of Tumor-Bearing Individuals May Be Antigen-Antibody Complexesbreakdown →
560
20 69

About S. C. Bansal

S. C. Bansal is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (7 papers), Immune Cell Function and Interaction (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology (831 citations), Oncology (365 citations) and Radiology, Nuclear Medicine and Imaging (266 citations). S. C. Bansal has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Hans Sjögren, Ingegerd Hellström, K E Hellström, Jonathan E. Rhoads, Roseanna Hargreaves, Glenn A. Warner, Karl Erik Hellström, R. Mark, Paul D. Siegel and Donald R. Cooper. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and JNCI Journal of the National Cancer Institute.

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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