I Shif

24 papers receiving 439 citations

Peers

I Shif
Comparison fields: 5 of 46
  • Infectious Diseases 396
  • Animal Science and Zoology 198
  • Hepatology 94
  • Cardiology and Cardiovascular Medicine 160
  • Genetics 84
Replace Maria Carolina M. Albuquerque with:
Maria Carolina M. Albuquerque Brazil
S. Urasawa Japan
Esmeralda Vizzi Venezuela
Michio Okame Japan
Maria Cleonice Aguiar Justino Brazil
Mary K Gardner United States
M. Sakamoto Japan
Mitsutaka Kuzuya Japan
R. Carmona Brazil
Takeshi Tsugawa Japan
I Shif relative to Maria Carolina M. Albuquerque Brazil Maria Carolina M. Albuquerque's profile →
Citations per field
00.5×1.5×
Maria Carolina M. Albuquerque · 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 199089
2
Rotavirus encephalopathy: evidence of central nervous system involvement during rotavirus infection.
199258
3 198847
4 197040
5 199536
6 199227
7 199323
8 199821
9 197020
10 199318
11
Necrotizing enterocolitis associated with rotavirus infection.
198315
12 198812
13 197610
14 196610
15 19839
16 19948
17 19958
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 475 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 Anesthesia and Neurotoxicity Research (1 paper). The work is most often cited by research in Infectious Diseases (396 citations), Animal Science and Zoology (198 citations), Hepatology (94 citations), Cardiology and Cardiovascular Medicine (160 citations) and Genetics (84 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, Ilan Keidan and J H Passwell. Their work appears in journals such as Journal of Clinical Microbiology, Archives of Virology, The Journal of Experimental Medicine, Journal of Medical Virology and Biochemical Pharmacology.

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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