E Wasserman

30 papers receiving 642 citations

Peers

E Wasserman
Comparison fields: 5 of 100
  • Applied Microbiology and Biotechnology 33
  • Microbiology 94
  • Infectious Diseases 281
  • Molecular Medicine 70
  • Clinical Biochemistry 63
Replace Limangeni Mankhambo with:
Limangeni Mankhambo Malawi
J. W. van’t Wout Netherlands
V. Weston United Kingdom
Bereneice M. Madison United States
Dennis J. Cleri United States
Iolanda Santino Italy
Micaela Gal United Kingdom
Claudia R. Libertin United States
Dilara Öğünç Türkiye
Carlotta Montagnani Italy
E Wasserman relative to Limangeni Mankhambo Malawi Limangeni Mankhambo's profile →
Citations per field
00.5×2.9×
Limangeni Mankhambo · 1×
Citations per year

Countries citing papers authored by E Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by E Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008121
2 196097
3 200091
4 200875
5 201058
6 200641
7 201537
8 195329
9 200828
10 201325
11 200922
12
DIAGNOSTIC VALUE OF SERUM COMPLEMENT DETERMINATION IN HEREDITARY GLOMERULONEPHRITIS.
196511
13 201110
14 201310
15 20068
16 19997
17 20147
18 20056
19 20136
20 20096

About E Wasserman

E Wasserman is a scholar working on Infectious Diseases, Clinical Biochemistry, Epidemiology, Public Health, Environmental and Occupational Health and Microbiology, having authored 33 papers that have together received 725 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (9 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Infections and Vaccines (4 papers), Streptococcal Infections and Treatments (3 papers), Antibiotic Resistance in Bacteria (3 papers), Mycobacterium research and diagnosis (3 papers) and Innovations in Medical Education (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (33 citations), Microbiology (94 citations), Infectious Diseases (281 citations), Molecular Medicine (70 citations) and Clinical Biochemistry (63 citations). E Wasserman has collaborated with scholars based in South Africa, Netherlands and United States. Frequent co-authors include Lawrence B. Slobody, Kathrin Lange, Mark F. Cotton, Anneke C. Hesseling, Ben J. Marais, Wendy Brittle, Heather J. Zar, Dick van Soolingen, Andrew Whitelaw and Robin M. Warren. Their work appears in journals such as Annals of Internal Medicine, Microbial Pathogenesis, Clinical Infectious Diseases, Clinical Microbiology and Infection 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.

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