Hillel Alapi

669 citations
11 papers · 382 · h-index 7

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • COVID-19 Clinical Research Studies 2
    • Chronic Lymphocytic Leukemia Research 4

Hillel Alapi

10 papers receiving 378 citations

Peers

Hillel Alapi
Comparison fields: 5 of 72
  • Modeling and Simulation 84
  • Infectious Diseases 288
  • Health 111
  • Endocrine and Autonomic Systems 18
  • Animal Science and Zoology 20
Replace Renuka Kadali with:
Renuka Kadali United States
Maria Elena Spoltore Italy
Rebecca Rossetti Italy
Lilac Tene Israel
Shuying Luo China
Kathie G. Ferbas United States
Joel W. Jones United States
Mélanie Closset Belgium
Noosha Samieefar Iran
Karine Beiruti Wiegler Israel
Hillel Alapi relative to Renuka Kadali United States Renuka Kadali's profile →
Citations per field
00.5×3.8×
Renuka Kadali · 1×
Citations per year

Countries citing papers authored by Hillel Alapi

Since Specialization
Citations

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

Fields of papers citing papers by Hillel Alapi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2021139
2 202290
3 202242
4 202239
5 201034
6 202327
7 20237
8 20232
9 20231
10 20241
11 20240

About Hillel Alapi

Hillel Alapi is a scholar working on Infectious Diseases, Genetics, Health, Modeling and Simulation and Pathology and Forensic Medicine, having authored 11 papers that have together received 382 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), COVID-19 epidemiological studies (3 papers), Vaccine Coverage and Hesitancy (3 papers), Calcium signaling and nucleotide metabolism (2 papers), COVID-19 Clinical Research Studies (2 papers), Cancer Genomics and Diagnostics (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Modeling and Simulation (84 citations), Infectious Diseases (288 citations), Health (111 citations), Endocrine and Autonomic Systems (18 citations) and Animal Science and Zoology (20 citations). Hillel Alapi has collaborated with scholars based in Israel and United States. Frequent co-authors include Gabriel Chodick, Tal Patalon, Sivan Gazit, Esma Herzel, Jacob Kuint, Matan Levine-Tiefenbrun, Idan Yelin, Roy Kishony, Rachel Katz and Galit Perez. Their work appears in journals such as Clinical Infectious Diseases, Nature Medicine, Acta Haematologica, The Prostate and Blood.

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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