Nancy L. Dock

585 citations
23 papers · 433 · h-index 12

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Hematology top 10%
    • Blood groups and transfusion
    • Hematopoietic Stem Cell Transplantation

Papers in

    • T-cell and Retrovirus Studies 5
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Blood groups and transfusion 4
    • Hematopoietic Stem Cell Transplantation 3

Nancy L. Dock

23 papers receiving 400 citations

Peers

Nancy L. Dock
Comparison fields: 5 of 59
  • Virology 98
  • Hematology 114
  • Immunology 146
  • Infectious Diseases 116
  • Biochemistry 31
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Citations per field
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Citations per year

Countries citing papers authored by Nancy L. Dock

Since Specialization
Citations

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

Fields of papers citing papers by Nancy L. Dock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy L. Dock. 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 Nancy L. Dock. The network helps show where Nancy L. Dock may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199357
2 198845
3 198840
4
Human immunodeficiency virus infection and indeterminate western blot patterns. Prospective studies in a low prevalence population.
199136
5 199033
6 199230
7 198029
8 199224
9 198923
10 199117
11 199515
12 198014
13 198011
14 198111
15 19888
16 19818
17 19848
18 19796
19 19826
20 19895

About Nancy L. Dock

Nancy L. Dock is a scholar working on Immunology, Hematology, Epidemiology, Virology and Agronomy and Crop Science, having authored 23 papers that have together received 433 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (5 papers), T-cell and Retrovirus Studies (5 papers), HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), Blood groups and transfusion (4 papers), Animal Disease Management and Epidemiology (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Virology (98 citations), Hematology (114 citations), Immunology (146 citations), Infectious Diseases (116 citations) and Biochemistry (31 citations). Nancy L. Dock has collaborated with scholars based in United States. Frequent co-authors include Frederick R. Davey, Betty A. Forbes, Cynthia A. Bonville, Frank G. Haluska, Kenneth C. Anderson, Jeffrey S. Dover, Ramesh A. Shivdasani, D. E. Tribe, T. O’Brien and Bernard J. Poiesz. Their work appears in journals such as Journal of Clinical Microbiology, Cancer, Transfusion, British Journal of Haematology and The Journal of 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.

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