W. W. Ackermann

58 papers receiving 769 citations

Peers

W. W. Ackermann
Comparison fields: 5 of 88
  • Infectious Diseases 252
  • Animal Science and Zoology 118
  • Epidemiology 301
  • Genetics 245
  • Cardiology and Cardiovascular Medicine 167
Replace Biswendu B. Goswami with:
Biswendu B. Goswami United States
Dorothy C. Young United States
G. Kaluza Germany
Ralph E. Smith United States
James M. Groarke United States
Patricia E Lind Australia
Robert C. Ting United States
Harshad R. Thacore United States
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Citations per field
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Citations per year

Countries citing papers authored by W. W. Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by W. W. Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195462
2 195150
3 195947
4 195144
5 195542
6 195541
7 196535
8 195735
9 195132
10 195832
11 195432
12 195532
13 195129
14 195227
15 195323
16 195219
17 197119
18 195418
19 195118
20 195618

About W. W. Ackermann

W. W. Ackermann is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Infectious Diseases and Genetics, having authored 59 papers that have together received 930 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (18 papers), Viral gastroenteritis research and epidemiology (13 papers), Virus-based gene therapy research (11 papers), Influenza Virus Research Studies (9 papers), Respiratory viral infections research (9 papers), Animal Virus Infections Studies (7 papers), RNA and protein synthesis mechanisms (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Infectious Diseases (252 citations), Animal Science and Zoology (118 citations), Epidemiology (301 citations), Genetics (245 citations) and Cardiology and Cardiovascular Medicine (167 citations). W. W. Ackermann has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include H. F. Maassab, Francis E. Payne, Philip C. Loh, Alan S. Rabson, Marian E. Swendseid, Frank H. Bethell, Keith E. Jensen, Elva Minuse, Nakao Ishida and F. Sokol. Their work appears in journals such as Experimental Biology and Medicine, The Journal of Experimental Medicine, The Journal of Immunology, Annals of the New York Academy of Sciences and Biochemical and Biophysical Research Communications.

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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