E Wasserman

27 papers receiving 556 citations

Peers

E Wasserman
Comparison fields: 5 of 89
  • Applied Microbiology and Biotechnology 27
  • Microbiology 84
  • Molecular Medicine 63
  • Infectious Diseases 223
  • Clinical Biochemistry 47
Replace Susan Potter with:
Susan Potter United States
Dawn Terashita United States
Hsi-Hsun Lin Taiwan
Joshua D. Jones United Kingdom
Mabula Kasubi Tanzania
Savitha Nagaraj India
Anita Glennen United States
E. Creamer Ireland
Geoff Taylor Canada
Pablo Gabriel United States
E Wasserman relative to Susan Potter United States Susan Potter's profile →
Citations per field
00.5×
Susan Potter · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008121
2 200091
3 200875
4 201058
5 200642
6 201540
7 200828
8 201325
9 200922
10
DIAGNOSTIC VALUE OF SERUM COMPLEMENT DETERMINATION IN HEREDITARY GLOMERULONEPHRITIS.
196511
11 201310
12 201110
13 20068
14 20147
15 19997
16 20056
17 20096
18 20136
19 20145
20 20114

About E Wasserman

E Wasserman is a scholar working on Infectious Diseases, Clinical Biochemistry, Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 598 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Bacterial Identification and Susceptibility Testing (9 papers), Bacterial biofilms and quorum sensing (4 papers), Streptococcal Infections and Treatments (3 papers), Bacterial Infections and Vaccines (2 papers), Antibiotic Resistance in Bacteria (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Antibiotic Use and Resistance (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (27 citations), Microbiology (84 citations), Molecular Medicine (63 citations), Infectious Diseases (223 citations) and Clinical Biochemistry (47 citations). E Wasserman has collaborated with scholars based in South Africa, Netherlands and United States. Frequent co-authors include Mark F. Cotton, Wendy Brittle, Anneke C. Hesseling, Ben J. Marais, Andrew Whitelaw, J.A.H. Smit, Heather J. Zar, Nulda Beyers, Dick van Soolingen and Robin M. Warren. Their work appears in journals such as Journal of Clinical Microbiology, Medical Teacher, PLoS ONE, BMC Infectious Diseases and European Journal of Clinical Microbiology & Infectious Diseases.

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.

Explore authors with similar magnitude of impact