K. Ulrich

990 citations
37 papers · 770 · h-index 15

Impact in

Papers in

    • T-cell and Retrovirus Studies 6
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2
    • HIV Research and Treatment 11

K. Ulrich

37 papers receiving 673 citations

Peers

K. Ulrich
Comparison fields: 5 of 108
  • Virology 112
  • Immunology 149
  • Infectious Diseases 104
  • Hematology 48
  • Molecular Biology 278
Replace Dorothy Feldman with:
Dorothy Feldman United States
Willis E. Brown United States
Paul H. Ehrlich United States
Joël Baguet France
Kathryn J. Hofmann United States
Barbara Mantelli Italy
Cristina Semino‐Mora United States
H.J. Schuurman Netherlands
Martine Papiernik France
L. Morrison United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by K. Ulrich

Since Specialization
Citations

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

Fields of papers citing papers by K. Ulrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966124
2 196697
3
The effect of neuraminidase on the phagocytic process in human monocytes.
196687
4 200355
5 200550
6 200042
7
The effect of foscarnet (phosphonoformate) on human immunodeficiency virus isolation, T-cell subsets and lymphocyte function in AIDS patients.
198739
8 198825
9 198723
10 196522
11 200820
12 199020
13 198520
14 197218
15 198615
16 196514
17 198211
18 197211
19 19859
20 19698

About K. Ulrich

K. Ulrich is a scholar working on Immunology, Virology, Molecular Biology, Infectious Diseases and Epidemiology, having authored 37 papers that have together received 770 indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), T-cell and Retrovirus Studies (6 papers), Virus-based gene therapy research (5 papers), HIV/AIDS drug development and treatment (4 papers), HIV/AIDS Research and Interventions (3 papers), Immune Cell Function and Interaction (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Virology (112 citations), Immunology (149 citations), Infectious Diseases (104 citations), Hematology (48 citations) and Molecular Biology (278 citations). K. Ulrich has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Ginny Moore, A. A. Sandberg, E. Mayhew, L. Weiss, M. Stern, Eric W.F.W. Alton, George E. Moore, Wolfgang Kuschinsky, D M Geddes and Bjarne Ørskov Lindhardt. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Experimental Biology and Medicine, Acta Haematologica, European Journal of Clinical Microbiology & Infectious Diseases and Gene Therapy.

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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