Constance Williams

5.9k citations
49 papers · 2.7k · h-index 28

Impact in

  • Virology top 0.2%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 42
    • Immune Cell Function and Interaction 18
    • T-cell and B-cell Immunology 8

Constance Williams

46 papers receiving 2.6k citations

Peers

Constance Williams
Comparison fields: 5 of 65
  • Virology 2.3k
  • Immunology 1.2k
  • Infectious Diseases 878
  • Radiology, Nuclear Medicine and Imaging 856
  • Hepatology 122
Replace Christina Ochsenbauer with:
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Citations per field
00.5×2.8×
Christina Ochsenbauer · 1×
Citations per year

Countries citing papers authored by Constance Williams

Since Specialization
Citations

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

Fields of papers citing papers by Constance Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994189
2 1991162
3 2004162
4 1994161
5 2002148
6 1999143
7 2000120
8 2005120
9 2010116
10 200498
11 199897
12 201093
13 200684
14 199278
15 200478
16 200875
17 199772
18 200966
19 201264
20 201450

About Constance Williams

Constance Williams is a scholar working on Virology, Immunology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Molecular Biology, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (42 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (8 papers), HIV/AIDS drug development and treatment (8 papers), Glycosylation and Glycoproteins Research (6 papers), Blood groups and transfusion (5 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Virology (2.3k citations), Immunology (1.2k citations), Infectious Diseases (878 citations), Radiology, Nuclear Medicine and Imaging (856 citations) and Hepatology (122 citations). Constance Williams has collaborated with scholars based in United States, Belgium and Cameroon. Frequent co-authors include Susan Zolla‐Pazner, Miroslaw K. Górny, Phillipe N. Nyambi, Kathy Revesz, Barbara Volsky, Sherri Burda, S Karwowska, Arthur Nádas, Xiang‐Peng Kong and Alan J. Conley. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, Human Antibodies and AIDS Research and Human Retroviruses.

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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