Edward A. Eckert

988 citations
43 papers · 727 · h-index 18

Impact in

Papers in

    • Influenza Virus Research Studies 8
    • Herpesvirus Infections and Treatments 4
    • Glycosylation and Glycoproteins Research 4

Edward A. Eckert

43 papers receiving 593 citations

Peers

Edward A. Eckert
Comparison fields: 5 of 78
  • Animal Science and Zoology 209
  • Infectious Diseases 160
  • Epidemiology 233
  • Genetics 181
  • Immunology 133
Replace Paul E. Came with:
Paul E. Came United States
G. Kaluza Germany
K.‐O. Habermehl Germany
T. Kohama Japan
Masao Iinuma Japan
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Citations per field
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Citations per year

Countries citing papers authored by Edward A. Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Edward A. Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Edward A. Eckert, 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 A. Eckert Line = papers co-authored together Edward A. Eckert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198257
2 195451
3 196450
4 195241
5 195532
6 195130
7 195528
8 195627
9 195225
10 196424
11 195424
12 195424
13
The Structure of Plagues and Pestilences in Early Modern Europe: Central Europe, 1560-1640
199624
14 197321
15 196620
16 197220
17 195419
18 195317
19 196316
20 195515

About Edward A. Eckert

Edward A. Eckert is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Immunology and Animal Science and Zoology, having authored 43 papers that have together received 727 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Viral Infections and Vectors (8 papers), T-cell and Retrovirus Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Animal Virus Infections Studies (7 papers), Glycosylation and Glycoproteins Research (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Animal Science and Zoology (209 citations), Infectious Diseases (160 citations), Epidemiology (233 citations), Genetics (181 citations) and Immunology (133 citations). Edward A. Eckert has collaborated with scholars based in United States and Germany. Frequent co-authors include J. W. Beard, Dorothy Beard, D. G. Sharp, R. Rott, Werner Schäfer, Alan P. Kendal, Arnold S. Monto, Richard E. Isaacson, Harry B. Greenberg and James S. Koopman. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Experimental Biology and Medicine, Journal of Bacteriology, Virology and Journal of Virology.

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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