Daniel G. Kavanagh

3.8k citations
33 papers · 2.3k · h-index 25

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 18
    • Immunotherapy and Immune Responses 9
    • T-cell and B-cell Immunology 9
    • HIV Research and Treatment 16

Daniel G. Kavanagh

33 papers receiving 2.3k citations

Peers

Daniel G. Kavanagh
Comparison fields: 5 of 90
  • Virology 578
  • Immunology 1.3k
  • Hepatology 244
  • Epidemiology 561
  • Infectious Diseases 198
Replace G. Furlini with:
G. Furlini Italy
C D Pendleton United States
David Sourdive United States
Melissa Precopio United States
Constantinos Petrovas United States
Krzysztof Brzózka Poland
Jason P. Gardner United States
Jorge R. Almeida United States
Caterina Lapenta Italy
Peggy Wentworth United States
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Citations per field
00.5×8.5×
G. Furlini · 1×
Citations per year

Countries citing papers authored by Daniel G. Kavanagh

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Kavanagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Kavanagh. 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 Daniel G. Kavanagh. The network helps show where Daniel G. Kavanagh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011241
2 2004231
3 2009226
4 1996142
5 2011131
6 2014124
7 2003105
8 200186
9 200886
10 201086
11 200780
12 201579
13 201071
14 200461
15 200859
16 201357
17 200152
18 200552
19 200845
20 200844

About Daniel G. Kavanagh

Daniel G. Kavanagh is a scholar working on Immunology, Virology, Epidemiology, Molecular Biology and Oncology, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), HIV Research and Treatment (16 papers), Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (9 papers), Cytomegalovirus and herpesvirus research (7 papers), Herpesvirus Infections and Treatments (4 papers), RNA Interference and Gene Delivery (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Virology (578 citations), Immunology (1.3k citations), Hepatology (244 citations), Epidemiology (561 citations) and Infectious Diseases (198 citations). Daniel G. Kavanagh has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Daniel E. Kaufmann, Xingfang Su, Darrell J. Irvine, Bruce D. Walker, Nina Bhardwaj, Filippos Porichis, Ann B. Hill, Ulrich H. Koszinowski, Mark A. Brockman and Douglas S. Kwon. Their work appears in journals such as The Journal of Immunology, Blood, Journal of Virology, The Journal of Experimental Medicine and PLoS ONE.

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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