Neil S. Silverman
- Microbiology top 2%
- Reproductive tract infections research 7
- Hepatology top 5%
- Epidemiology top 5%
- Hepatitis B Virus Studies 7
- Obstetrics and Gynecology top 5%
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- Prenatal Screening and Diagnostics 12
- Maternal and fetal healthcare 5
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- HIV/AIDS Research and Interventions 9
- Parvovirus B19 Infection Studies 4
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- Blood Coagulation and Thrombosis Mechanisms 4
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- Neonatal and Maternal Infections 4
- Co-authors
- John Alfred CarrJodie Dionne‐OdomDonald JungkindAlan TitaMarla C. DubinskyEric A. VasiliauskasJoseph A. ChurchStephan R. Targan
- Cited by
- MicrobiologyHepatologyEpidemiology
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Neil S. Silverman
61 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Microbiology 162
- Hepatology 202
- Epidemiology 625
- Anesthesiology and Pain Medicine 91
- Obstetrics and Gynecology 111
Countries citing papers authored by Neil S. Silverman
This map shows the geographic impact of Neil S. Silverman'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 Neil S. Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil S. Silverman more than expected).
Fields of papers citing papers by Neil S. Silverman
This network shows the impact of papers produced by Neil S. Silverman. 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 Neil S. Silverman. The network helps show where Neil S. Silverman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neil S. Silverman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2023 | 9 | |
| 3 | 2020 | 8 | |
| 4 | 2020 | 6 | |
| 5 | 2017 | 18 | |
| 6 | 2017 | 6 | |
| 7 | 2017 | 24 | |
| 8 | 2016 | 28 | |
| 9 | 2014 | 16 | |
| 10 | 2014 | 19 | |
| 11 | 1998 | 5 | |
| 12 | 1998 | 18 | |
| 13 | 1998 | 43 | |
| 14 | 1997 | 5 | |
| 15 | 1996 | 41 | |
| 16 | 1996 | 43 | |
| 17 | 1995 | 8 | |
| 18 | 1995 | 19 | |
| 19 | 1994 | 18 | |
| 20 | 1992 | 140 |
About Neil S. Silverman
Neil S. Silverman is a scholar working on Microbiology, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (12 papers), HIV/AIDS Research and Interventions (9 papers), Reproductive tract infections research (7 papers), Hepatitis B Virus Studies (7 papers), Maternal and fetal healthcare (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Neonatal and Maternal Infections (4 papers) and Parvovirus B19 Infection Studies (4 papers). The work is most often cited by research in Microbiology (162 citations), Hepatology (202 citations) and Epidemiology (625 citations). Neil S. Silverman has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include John Alfred Carr, Jodie Dionne‐Odom, Donald Jungkind, Alan Tita, Marla C. Dubinsky, Eric A. Vasiliauskas, Joseph A. Church, Stephan R. Targan, Valerie A. Arkoosh and Mark C. Norris. Their work appears in journals such as JAMA, Nature Genetics and Journal of Clinical Microbiology.
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.