So Hashizume

630 citations
27 papers · 497 indexed · h-index 15

Impact in

Papers in

So Hashizume

25 papers receiving 464 citations

Peers

So Hashizume
Comparison fields: 5 of 45
  • Virology 180
  • Infectious Diseases 231
  • Cardiology and Cardiovascular Medicine 227
  • Animal Science and Zoology 54
  • Epidemiology 165
Replace Kersi Katrak with:
Kersi Katrak United Kingdom
Muhannad F. Al-Kobaisi Oman
Patrizia Isola Italy
Tomoyuki Shiota Japan
Matthew A. Takata United States
W. A. M. Boere Netherlands
Corrine Beugeling Netherlands
Klaus-Ingmar Pfrepper Germany
S Vidal Switzerland
Miranda Shehu-Xhilaga Australia
So Hashizume relative to Kersi Katrak United Kingdom Kersi Katrak's profile →
Citations per field
00.5×
Kersi Katrak · 1×
Citations per year

Countries citing papers authored by So Hashizume

Since Specialization
Citations

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

Fields of papers citing papers by So Hashizume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201523
2 201514
3 20066
4 200216
5 200242
6 200111
7 19993
8 19989
9 199516
10 199535
11 199414
12 199178
13 19900
14 19905
15 19882
16 19875
17 198719
18 198717
19
[New technology of vaccine production--international prospect of the development. Method and theory of production of vaccines by genetic engineering. a. Vaccinia vector vaccine].
19870
20 197731

About So Hashizume

So Hashizume is a scholar working on Virology, Animal Science and Zoology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Microbiology, having authored 27 papers that have together received 497 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (12 papers), Viral gastroenteritis research and epidemiology (11 papers), Virus-based gene therapy research (8 papers), Animal Virus Infections Studies (7 papers), Poxvirus research and outbreaks (5 papers), Herpesvirus Infections and Treatments (4 papers), Bacillus and Francisella bacterial research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Virology (180 citations), Infectious Diseases (231 citations), Cardiology and Cardiovascular Medicine (227 citations), Animal Science and Zoology (54 citations) and Epidemiology (165 citations). So Hashizume has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Hitoshi Horie, Keizaburo Miki, Akio Nomoto, S. Funahashi, Hiromu Yoshida, Kumiko Matsuura, Shinobu Abe, Minetaro Arita, Hiroyuki Yokote and Masashi Morita. Their work appears in journals such as Vaccine, Virology, Biologicals, Journal of Medical Virology and Journal of General Virology.

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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