Susumu Sano

693 citations
13 papers · 610 indexed · h-index 9
Topics
Peptidase Inhibition and Analysis (6 papers)Neuropeptides and Animal Physiology (2 papers)Viral gastroenteritis research and epidemiology (1 paper)

In The Last Decade

Susumu Sano

12 papers receiving 598 citations

Peers

Susumu Sano
Comparison fields: 5 of 71
  • Immunology 300
  • Molecular Biology 188
  • Organic Chemistry 130
  • Oncology 89
  • Epidemiology 72
Replace Sanjay Khandekar with:
Sanjay Khandekar United States
Gerald D. Mayer United States
Tam Dang United States
M. Kawaguchi Japan
Maninder K. Sohi United Kingdom
Jörg Kallen Switzerland
Nicholas J. Ede Australia
Diptesh Sil United States
Henning Sievert Germany
Meghan Hattarki Australia
Susumu Sano relative to Sanjay Khandekar United States Sanjay Khandekar's profile →
Citations per field
00.5×3.7×
Sanjay Khandekar · 1×
Citations per year

Countries citing papers authored by Susumu Sano

Since Specialization
Citations

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

Fields of papers citing papers by Susumu Sano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susumu Sano

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 330
2 1
3 49
4 11
5
Prevention of suppression of alloreactive capacity following intravenous injection of neuraminidase-treated allogeneic cells by co-injection of agents competing for asialoglycoprotein receptor.
2
6 27
7 28
8 47
9 20
10 64
11 4
12 26
13 1

About Susumu Sano

Susumu Sano is a scholar working on Biotechnology, Oncology and Pharmacy, having authored 13 papers that have together received 610 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (6 papers), Neuropeptides and Animal Physiology (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Immunology (300 citations), Organic Chemistry (130 citations) and Infectious Diseases (67 citations). Susumu Sano has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Barry R. Bloom, Robert L. Modlin, E. Nieves, Craig T. Morita, Michael B. Brenner, Yoshimasa Tanaka, Gennaro De Libero, Daniela Santoro Rosa, Akira Ôbayashi and Teruya Nakamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Infection and Immunity and The Journal of Antibiotics.

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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