Hazel M. Dockrell

14.4k citations
229 papers · 8.1k indexed · h-index 52
    • Tuberculosis Research and Epidemiology 137
    • Leprosy Research and Treatment 47
  • Immunology top 0.5%
    • Immunodeficiency and Autoimmune Disorders 56
    • Immune responses and vaccinations 36
    • Immune Cell Function and Interaction 13
  • Epidemiology top 0.5%
    • Mycobacterium research and diagnosis 103
  • Surgery top 2%
    • Infectious Diseases and Tuberculosis 28
    • Diagnosis and treatment of tuberculosis 16

Hazel M. Dockrell

223 papers receiving 7.8k citations

Peers

Hazel M. Dockrell
Comparison fields: 5 of 151
  • Infectious Diseases 5.0k
  • Immunology 3.4k
  • Epidemiology 3.6k
  • Parasitology 307
  • Surgery 1.5k
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Citations per year

Countries citing papers authored by Hazel M. Dockrell

Since Specialization
Citations

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

Fields of papers citing papers by Hazel M. Dockrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hazel M. Dockrell. 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 Hazel M. Dockrell. The network helps show where Hazel M. Dockrell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20221
4 20214
5 20198
6 201913
7 201728
8 201649
9 201529
10 200744
11 20050
12 200564
13
Medical Microbiology 3rd Edition
200415
14 200413
15 200422
16
The Cytokine Handbook
199315
17
Leucocyte Typing IV. White Cell Differentiation Antigens
19915
18
Tumor Necrosis Factor: Structure, Mechanism of Action, Role in Disease and Therapy
19904
19
Mycobacterium tuberculosis. Interactions with the immune system
19899
20
Recognition of M. leprae Antigens
19883

About Hazel M. Dockrell

Hazel M. Dockrell is a scholar working on Infectious Diseases, Immunology, Epidemiology, Microbiology and Surgery, having authored 229 papers that have together received 8.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (137 papers), Mycobacterium research and diagnosis (103 papers), Immunodeficiency and Autoimmune Disorders (56 papers), Leprosy Research and Treatment (47 papers), Immune responses and vaccinations (36 papers), Infectious Diseases and Tuberculosis (28 papers), Diagnosis and treatment of tuberculosis (16 papers) and Immune Cell Function and Interaction (13 papers). The work is most often cited by research in Infectious Diseases (5.0k citations), Immunology (3.4k citations), Epidemiology (3.6k citations), Parasitology (307 citations) and Surgery (1.5k citations). Hazel M. Dockrell has collaborated with scholars based in United Kingdom, Netherlands and South Africa. Frequent co-authors include J. H. L. Playfair, Steven G. Smith, Rosemary E. Weir, Tom H. M. Ottenhoff, Jacqueline M. Cliff, Adam Malin, Sian Floyd, Janice Taverne, J K Steele and G.A.W. Rook. Their work appears in journals such as Infection and Immunity, PLoS ONE, Frontiers in Immunology, Immunology and Vaccine.

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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