Paul Silverman

24 papers receiving 697 citations

Peers

Paul Silverman
Comparison fields: 5 of 94
  • Modeling and Simulation 63
  • Microbiology 67
  • Critical Care and Intensive Care Medicine 48
  • Health 70
  • Cardiology and Cardiovascular Medicine 165
Replace Daniela Dalla Gasperina with:
Daniela Dalla Gasperina Italy
Nan-Chang Chiu Taiwan
Steven J. Lawrence United States
Ji Young Park South Korea
Vincent Ciuryla United States
Sanjay Lalwani India
Lars‐Magnus Andersson Sweden
Mi Seon Han South Korea
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Citations per year

Countries citing papers authored by Paul Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Paul Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990253
2 200980
3 198869
4 199162
5 200451
6 201047
7 199926
8 201125
9 199422
10 201021
11 200618
12 199211
13 20169
14
Epidemiological investigation of a youth suicide cluster: Delaware 2012.
20137
15
Animal Behaviour in the Laboratory: Behavioural Tests and Their Interpretation Illustrated Mainly by Psychopharmacology in the Rat
19785
16 19894
17 20144
18 19893
19 20103
20 20023

About Paul Silverman

Paul Silverman is a scholar working on Epidemiology, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 24 papers that have together received 730 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Smoking Behavior and Cessation (3 papers), Ultrasound and Hyperthermia Applications (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Public Health Policies and Education (2 papers), Advanced MRI Techniques and Applications (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Modeling and Simulation (63 citations), Microbiology (67 citations), Critical Care and Intensive Care Medicine (48 citations), Health (70 citations) and Cardiology and Cardiovascular Medicine (165 citations). Paul Silverman has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Folkert J. ten Cate, Miguel A. Quiñones, Paul A. Heidenreich, Candace Dick, William F. Armstrong, Steven B. Feinstein, Jorge Cheirif, Pravin M. Shah, J R Haaga and Tarissa Mitchell. Their work appears in journals such as Clinical Infectious Diseases, Journal of the American Society of Echocardiography, Journal of the American College of Cardiology, Coronary Artery Disease and American Journal of Preventive Medicine.

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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