Graham Hatch

1.4k citations
22 papers · 958 · h-index 14

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 11
    • Mycobacterium research and diagnosis 8
    • Pneumonia and Respiratory Infections 2

Graham Hatch

22 papers receiving 927 citations

Peers

Graham Hatch
Comparison fields: 5 of 64
  • Infectious Diseases 602
  • Virology 153
  • Immunology 344
  • Epidemiology 470
  • Molecular Medicine 47
Replace Valérie Rosseels with:
Valérie Rosseels Belgium
M Gheorghiu France
E Lozes Belgium
Dominick J. Laddy United States
Sushila D’Souza Belgium
Silvia Ragno United Kingdom
Laurens A.H. van Pinxteren Denmark
Isaac G. Sakala Australia
Audrey Tanghe Belgium
Rachael D. Aubert United States
Graham Hatch relative to Valérie Rosseels Belgium Valérie Rosseels's profile →
Citations per field
00.5×3.6×
Valérie Rosseels · 1×
Citations per year

Countries citing papers authored by Graham Hatch

Since Specialization
Citations

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

Fields of papers citing papers by Graham Hatch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004163
2 2004107
3 2013105
4 2006100
5 200585
6 200385
7 200952
8 200242
9 200336
10 201136
11 201529
12 200623
13 200422
14 201421
15 202112
16 200610
17 20139
18 20157
19 20145
20 20224

About Graham Hatch

Graham Hatch is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Surgery, having authored 22 papers that have together received 958 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (8 papers), Immune responses and vaccinations (3 papers), Bacillus and Francisella bacterial research (3 papers), Poxvirus research and outbreaks (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Pneumonia and Respiratory Infections (2 papers) and Infectious Diseases and Tuberculosis (2 papers). The work is most often cited by research in Infectious Diseases (602 citations), Virology (153 citations), Immunology (344 citations), Epidemiology (470 citations) and Molecular Medicine (47 citations). Graham Hatch has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Ann Williams, Anja Weinreich Olsen, Peter Andersen, Philip D. Marsh, Limei Meng Okkels, Simon Clark, Graham Hall, Julia Vipond, Joanna Bacon and Brian W. James. Their work appears in journals such as Tuberculosis, Vaccine, Infection and Immunity, Journal of Virology and Antimicrobial Agents and Chemotherapy.

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.

Explore authors with similar magnitude of impact