Daniel Nevo

44 papers receiving 719 citations

Daniel Nevo's Hit Papers

Association Between BNT162b2 Vaccination and Incidence of SARS-CoV-2 Infection in Pregnant Women 2021 · 191 citations
1910+1+3Years since publication50100150

Peers

Daniel Nevo
Comparison fields: 5 of 109
  • Obstetrics and Gynecology 192
  • Health 124
  • Applied Microbiology and Biotechnology 14
  • Infectious Diseases 116
  • Immunology 108
Replace Jiawei He with:
Jiawei He China
Rebecca E. Chandler Sweden
Mohamad Raad United States
Christina M. Astley United States
Cecilia Acuti Martellucci Italy
Marwa O. Elgendy Egypt
Nawar Diar Bakerly United Kingdom
Ellen C. Caniglia United States
Wenjuan Wang China
Zelalem G. Dessie South Africa
Daniel Nevo relative to Jiawei He China Jiawei He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Nevo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nevo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association Between BNT162b2 Vaccination and Incidence of SARS-CoV-2 Infection in Pregnant Women
Hit paper breakdown →
2021191
2
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
202084
3 201775
4 202155
5 202234
6 201734
7 202130
8 202124
9 202020
10 202119
11 202119
12 201714
13 202114
14 201911
15 202211
16
Fetal Biometry in the Israeli Population: New Reference Charts.
20169
17 20227
18 20167
19 20236
20 20206

About Daniel Nevo

Daniel Nevo is a scholar working on Epidemiology, Genetics, Pediatrics, Perinatology and Child Health, Statistics and Probability and Health, Toxicology and Mutagenesis, having authored 46 papers that have together received 728 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (9 papers), Birth, Development, and Health (7 papers), Statistical Methods and Inference (6 papers), Advanced Causal Inference Techniques (6 papers), Microscopic Colitis (5 papers), Climate Change and Health Impacts (5 papers), Vaccine Coverage and Hesitancy (4 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Obstetrics and Gynecology (192 citations), Health (124 citations), Applied Microbiology and Biotechnology (14 citations), Infectious Diseases (116 citations) and Immunology (108 citations). Daniel Nevo has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Gabriel Chodick, Yaakov Segal, Ran S. Rotem, Inbal Goldshtein, David M. Steinberg, Malka Gorfine, Xiaomei Liao, Donna Spiegelman, Sharon Qian and Yaron Singer. Their work appears in journals such as Journal of Crohn s and Colitis, International Journal of Epidemiology, Inflammatory Bowel Diseases, Clinical Gastroenterology and Hepatology and Environmental Research.

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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