Danit Sofer

1.7k citations
51 papers · 1.0k · h-index 17

Impact in

Papers in

Danit Sofer

48 papers receiving 1.0k citations

Peers

Danit Sofer
Comparison fields: 5 of 80
  • Infectious Diseases 800
  • Cardiology and Cardiovascular Medicine 483
  • Agronomy and Crop Science 167
  • Modeling and Simulation 43
  • Epidemiology 201
Replace Ananda S Bandyopadhyay with:
Ananda S Bandyopadhyay United States
Syed Sohail Zahoor Zaidi Pakistan
Carita Savolainen‐Kopra Finland
Tsuguto Fujimoto Japan
Jagadish M. Deshpande India
Jaume Jorba United States
Kamol Suwannakarn Thailand
Phan Văn Tú Vietnam
Mirja Stenvik Finland
Salmaan Sharif Pakistan
Danit Sofer relative to Ananda S Bandyopadhyay United States Ananda S Bandyopadhyay's profile →
Citations per field
00.5×
Ananda S Bandyopadhyay · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013124
2 202178
3 199972
4 201469
5 201661
6 201854
7 201453
8 200649
9 201437
10 202035
11 201235
12 201331
13 200729
14 201421
15 201620
16 200819
17 202116
18 201416
19 201715
20 201612

About Danit Sofer

Danit Sofer is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology and Agronomy and Crop Science, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (33 papers), Viral gastroenteritis research and epidemiology (30 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Respiratory viral infections research (9 papers), SARS-CoV-2 detection and testing (7 papers), Animal Disease Management and Epidemiology (6 papers), Animal Virus Infections Studies (5 papers) and Plant Virus Research Studies (5 papers). The work is most often cited by research in Infectious Diseases (800 citations), Cardiology and Cardiovascular Medicine (483 citations), Agronomy and Crop Science (167 citations), Modeling and Simulation (43 citations) and Epidemiology (201 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, Jacob Moran‐Gilad, Yaniv Lustig, Itamar Grotto, Efrat Bucris, Ronni Gamzu and Merav Weil. Their work appears in journals such as Eurosurveillance, Journal of Clinical Virology, PLoS ONE, The Science of The Total Environment and Vaccine.

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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