Tal Patalon

3.7k total citations · 1 hit paper
50 papers, 1.6k citations indexed

About

Tal Patalon is a scholar working on Infectious Diseases, Health and Modeling and Simulation. According to data from OpenAlex, Tal Patalon has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Infectious Diseases, 13 papers in Health and 10 papers in Modeling and Simulation. Recurrent topics in Tal Patalon's work include SARS-CoV-2 and COVID-19 Research (26 papers), COVID-19 Clinical Research Studies (19 papers) and Vaccine Coverage and Hesitancy (13 papers). Tal Patalon is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (26 papers), COVID-19 Clinical Research Studies (19 papers) and Vaccine Coverage and Hesitancy (13 papers). Tal Patalon collaborates with scholars based in Israel and United States. Tal Patalon's co-authors include Sivan Gazit, Gabriel Chodick, Amir Ben‐Tov, Asaf Peretz, Galit Perez, Esma Herzel, Jacob Kuint, Idan Yelin, Roy Kishony and Rachel Katz and has published in prestigious journals such as Science, Nature Medicine and Nature Communications.

In The Last Decade

Tal Patalon

45 papers receiving 1.6k citations

Hit Papers

Initial report of decreased SARS-CoV-2 viral load after i... 2021 2026 2022 2024 2021 100 200 300

Peers

Tal Patalon
Comparison fields: 5 of 106
  • Infectious Diseases 1.4k
  • Health 598
  • Modeling and Simulation 464
  • Epidemiology 133
  • Molecular Biology 113
Replace Sivan Gazit with:
Sivan Gazit Israel
Kaijie Pan United States
Srinivas Rao Valluri United States
Sharon Alroy‐Preis Israel
Joann M. Zamparo United States
Yeheskel Levy Israel
Carmit Rubin Israel
Timothy B. Frankland United States
Victoria Indenbaum Israel
Omri Bodenheimer Israel
Sivan Gazit Israel View profile →
Citations per field, relative to Tal Patalon
Tal Patalon · 1×
Citations per year, relative to Tal Patalon
Tal Patalon · 1×

Countries citing papers authored by Tal Patalon

Since Specialization
Citations

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

Fields of papers citing papers by Tal Patalon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Patalon

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 2
6 2
7 0
8 19
9 2
10 1
11 6
12 8
13 90
14 30
15 16
16 8
17 139
18 172
19 58
20
Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccine breakdown →
305

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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