Kim A. Hatch

15 total papers · 577 total citations
13 papers, 308 citations indexed

About

Kim A. Hatch is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Kim A. Hatch has authored 13 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 11 papers in Epidemiology and 4 papers in Molecular Medicine. Recurrent topics in Kim A. Hatch's work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (11 papers) and Antibiotic Resistance in Bacteria (4 papers). Kim A. Hatch is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (11 papers) and Antibiotic Resistance in Bacteria (4 papers). Kim A. Hatch collaborates with scholars based in United Kingdom. Kim A. Hatch's co-authors include Joanna Bacon, Philip D. Marsh, Lorenz Wernisch, Gurdyal S. Besra, Robert J. Watson, Yi Zhang, Rose E. Jeeves, Sharon L. Kendall, Neil G. Stoker and Graham Hall and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Kim A. Hatch

13 papers receiving 302 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kim A. Hatch 246 221 105 47 42 13 308
Bintou Ahmadou Ahidjo 200 0.8× 111 0.5× 97 0.9× 31 0.7× 40 1.0× 13 335
Kaley M. Wilburn 229 0.9× 146 0.7× 180 1.7× 41 0.9× 56 1.3× 11 341
Charlotte Passemar 196 0.8× 174 0.8× 78 0.7× 32 0.7× 51 1.2× 7 260
Vanessa Hui Qi Koh 179 0.7× 121 0.5× 150 1.4× 46 1.0× 24 0.6× 7 290
Sharad Pathak 222 0.9× 184 0.8× 142 1.4× 19 0.4× 53 1.3× 8 362
Florence Reibel 221 0.9× 193 0.9× 54 0.5× 66 1.4× 65 1.5× 14 350
Cherise P. Scott 277 1.1× 213 1.0× 81 0.8× 41 0.9× 57 1.4× 9 352
Katelyn E. Zulauf 194 0.8× 107 0.5× 82 0.8× 36 0.8× 18 0.4× 11 361
Fanny Ewann 175 0.7× 129 0.6× 147 1.4× 26 0.6× 26 0.6× 8 298
Ephrem Debebe Zegeye 200 0.8× 134 0.6× 168 1.6× 46 1.0× 65 1.5× 19 351

Countries citing papers authored by Kim A. Hatch

Since Specialization
Citations

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

Fields of papers citing papers by Kim A. Hatch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim A. Hatch

This figure shows the co-authorship network connecting the top 25 collaborators of Kim A. Hatch. A scholar is included among the top collaborators of Kim A. Hatch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim A. Hatch. Kim A. Hatch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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