Daniel J. Grint

2.7k citations
70 papers · 2k · h-index 26

Impact in

    • Tuberculosis Research and Epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
  • Hepatology top 5%
    • Hepatitis C virus research

Papers in

    • Tuberculosis Research and Epidemiology 20
    • HIV/AIDS drug development and treatment 7
    • COVID-19 Clinical Research Studies 6
    • HIV/AIDS Research and Interventions 3
    • SARS-CoV-2 and COVID-19 Research 3
    • Hepatitis C virus research 13

Daniel J. Grint

66 papers receiving 1.9k citations

Peers

Daniel J. Grint
Comparison fields: 5 of 94
  • Infectious Diseases 963
  • Hepatology 262
  • Modeling and Simulation 108
  • Virology 30
  • Epidemiology 211
Replace H. Nina Kim with:
H. Nina Kim United States
Maxime Hentzien France
David Goodman‐Meza United States
Zoë J. Oliver United Kingdom
Gianluca Cuomo Italy
Lloyd Mulenga Zambia
Danae Bixler United States
Masahiro Ishikane Japan
Marvin A. H. Berrevoets Netherlands
Sabina Herrera Spain
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Citations per field
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H. Nina Kim · 1×
Citations per year

Countries citing papers authored by Daniel J. Grint

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Grint

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018173
2 2021141
3 2021128
4 202099
5 201177
6 201268
7 202065
8 202165
9 202162
10 201260
11 202049
12 202048
13 201547
14 202245
15 202244
16 201343
17 202141
18 202441
19 202036
20 201335

About Daniel J. Grint

Daniel J. Grint is a scholar working on Infectious Diseases, Hepatology, Epidemiology, Surgery and General Health Professions, having authored 70 papers that have together received 2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (20 papers), Hepatitis C virus research (13 papers), Infectious Diseases and Tuberculosis (9 papers), HIV/AIDS drug development and treatment (7 papers), COVID-19 Clinical Research Studies (6 papers), Hepatitis B Virus Studies (3 papers), HIV/AIDS Research and Interventions (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Infectious Diseases (963 citations), Hepatology (262 citations), Modeling and Simulation (108 citations), Virology (30 citations) and Epidemiology (211 citations). Daniel J. Grint has collaborated with scholars based in United Kingdom, Denmark and Germany. Frequent co-authors include Jens Dilling Lundgren, Lars Peters, Amanda Mocroft, Ole Kirk, Elizabeth Lucy Corbett, Joep J. van Oosterhout, Ankur Gupta‐Wright, Katherine Fielding, Vincent Soriano and Jürgen Kurt Rockstroh. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, AIDS, HIV Medicine and Wellcome Open Research.

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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