Danit Sofer

1.7k citations
52 papers · 1.1k · h-index 17

Impact in

Papers in

Danit Sofer

49 papers receiving 1.0k citations

Peers

Danit Sofer
Comparison fields: 5 of 74
  • Infectious Diseases 646
  • Cardiology and Cardiovascular Medicine 484
  • Agronomy and Crop Science 125
  • Modeling and Simulation 35
  • Public Health, Environmental and Occupational Health 150
Replace Jagadish M. Deshpande with:
Jagadish M. Deshpande India
Carita Savolainen‐Kopra Finland
Tsuguto Fujimoto Japan
Mirja Stenvik Finland
Ananda S Bandyopadhyay United States
Harrie van der Avoort Netherlands
Kamol Suwannakarn Thailand
Linda L. Han United States
Christine Archimbaud France
Jaume Jorba United States
Danit Sofer relative to Jagadish M. Deshpande India Jagadish M. Deshpande's profile →
Citations per field
00.5×1.5×1.8×
Jagadish M. Deshpande · 1×
Citations per year

Countries citing papers authored by Danit Sofer

Since Specialization
Citations

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

Fields of papers citing papers by Danit Sofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013125
2 202179
3 199972
4 201471
5 201664
6 201860
7 201453
8 200650
9 202037
10 201437
11 201235
12 201331
13 200730
14 201421
15 201620
16 200819
17 201416
18 202116
19 201715
20 202214

About Danit Sofer

Danit Sofer is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Plant Science, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (33 papers), Viral gastroenteritis research and epidemiology (18 papers), SARS-CoV-2 and COVID-19 Research (10 papers), SARS-CoV-2 detection and testing (7 papers), Respiratory viral infections research (6 papers), Mosquito-borne diseases and control (4 papers), Plant Virus Research Studies (4 papers) and Malaria Research and Control (3 papers). The work is most often cited by research in Infectious Diseases (646 citations), Cardiology and Cardiovascular Medicine (484 citations), Agronomy and Crop Science (125 citations), Modeling and Simulation (35 citations) and Public Health, Environmental and Occupational Health (150 citations). Danit Sofer has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Ella Mendelson, Lester M. Shulman, Musa Hindiyeh, Y. Manor, Yaniv Lustig, Jacob Moran‐Gilad, Efrat Bucris, Itamar Grotto, Ronni Gamzu and Merav Weil. Their work appears in journals such as Journal of Clinical Virology, Eurosurveillance, PLoS ONE, Vaccine and The Science of The Total Environment.

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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