I Shif

24 papers receiving 420 citations

Peers

I Shif
Comparison fields: 5 of 46
  • Infectious Diseases 390
  • Animal Science and Zoology 194
  • Hepatology 99
  • Cardiology and Cardiovascular Medicine 171
  • Genetics 80
Replace S. Urasawa with:
S. Urasawa Japan
D Garcia United States
G Larralde United States
Maria Cleonice Aguiar Justino Brazil
K.Y. Green United States
Esmeralda Vizzi Venezuela
Takeshi Tsugawa Japan
Michio Okame Japan
C Jayavasu Thailand
Mitsuaki Oseto Japan
I Shif relative to S. Urasawa Japan S. Urasawa's profile →
Citations per field
00.5×
S. Urasawa · 1×
Citations per year

Countries citing papers authored by I Shif

Since Specialization
Citations

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

Fields of papers citing papers by I Shif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199087
2
Rotavirus encephalopathy: evidence of central nervous system involvement during rotavirus infection.
199256
3 198847
4 197037
5 199536
6 199226
7 199322
8 199820
9 197018
10 199316
11
Necrotizing enterocolitis associated with rotavirus infection.
198315
12 19839
13 19888
14 19958
15 19947
16 19767
17 19667
18
Rotavirus infection in a neonatal intensive care nursery.
19835
19
Pilot study of an extended range of potential etiologic agents of diarrhea in the Israel Defense Forces.
19925
20
Evidence that human babies may become infected by animal rotaviruses.
19944

About I Shif

I Shif is a scholar working on Infectious Diseases, Animal Science and Zoology, Surgery, Hepatology and Genetics, having authored 24 papers that have together received 450 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (18 papers), Animal Virus Infections Studies (8 papers), Congenital Anomalies and Fetal Surgery (7 papers), Virus-based gene therapy research (5 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Hepatitis C virus research (3 papers), Infant Nutrition and Health (2 papers) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Infectious Diseases (390 citations), Animal Science and Zoology (194 citations), Hepatology (99 citations), Cardiology and Cardiovascular Medicine (171 citations) and Genetics (80 citations). I Shif has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include Yair Aboudy, Frederik B. Bang, T. Gotlieb‐Stematsky, Osamu Nakagomi, Ilana Silberstein, Toyoko Nakagomi, Ella Mendelson, Masahito Mochizuki, Lester M. Shulman and J H Passwell. Their work appears in journals such as Journal of Clinical Microbiology, Archives of Virology, Journal of Medical Virology, The Journal of Experimental Medicine 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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