Edward Wasserman

577 citations
23 papers · 413 · h-index 10

Impact in

Papers in

Edward Wasserman

23 papers receiving 349 citations

Peers

Edward Wasserman
Comparison fields: 5 of 91
  • Pediatrics, Perinatology and Child Health 165
  • Endocrine and Autonomic Systems 35
  • Virology 22
  • Obstetrics and Gynecology 30
  • Communication 23
Replace J G Bissenden with:
J G Bissenden United Kingdom
Sibylle Banaschak Germany
Alberto Chiara Italy
G. Picherot France
Michael A. Thomas United States
Ayten Egemen Türkiye
Harris Re United States
Daniel Hercz United States
Stephen M. Golden United States
Davies Am Israel
Edward Wasserman relative to J G Bissenden United Kingdom J G Bissenden's profile →
Citations per field
00.5×7.3×
J G Bissenden · 1×
Citations per year

Countries citing papers authored by Edward Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by Edward Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Edward Wasserman, 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 Edward Wasserman Line = papers co-authored together Edward Wasserman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971161
2 196931
3 196930
4 198529
5 198723
6
More on human immunodeficiency virus embryopathy.
198722
7 201221
8 198620
9 195914
10 195113
11 19588
12 19518
13 19858
14 20137
15 19515
16 20174
17 19592
18
Friedländer's pneumonia.
19512
19
A Critique of Source Confidentiality
20141
20 19691

About Edward Wasserman

Edward Wasserman is a scholar working on Pediatrics, Perinatology and Child Health, Nephrology, Public Health, Environmental and Occupational Health, Law and Infectious Diseases, having authored 23 papers that have together received 413 indexed citations. Recurring topics across this work include Law in Society and Culture (3 papers), Renal Diseases and Glomerulopathies (3 papers), Prenatal Substance Exposure Effects (2 papers), Prenatal Screening and Diagnostics (2 papers), Parvovirus B19 Infection Studies (2 papers), Folate and B Vitamins Research (2 papers), Medical and Biological Sciences (2 papers) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (165 citations), Endocrine and Autonomic Systems (35 citations), Virology (22 citations), Obstetrics and Gynecology (30 citations) and Communication (23 citations). Edward Wasserman has collaborated with scholars based in United States. Frequent co-authors include Carl Zelson, Richard Stone, Donald S. Gromisch, Mahrukh Bamji, Silvia Iosub, Louis Weinstein, Nesrin Bingol, Gerhard Treser, Magdalena Fuchs and Kurt Lange. Their work appears in journals such as PEDIATRICS, New England Journal of Medicine, Obstetrical & Gynecological Survey, Alcohol and Journal of Media Ethics.

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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