Anna L. Goodman

49 papers receiving 2.2k citations

Hit Papers

Nonantibiotic prevention and management of recurrent urinary tract infection 2018 · 206 citations
2062013202620172021250500750

Peers

Anna L. Goodman
Comparison fields: 5 of 168
  • Virology 158
  • Public Health, Environmental and Occupational Health 528
  • Infectious Diseases 286
  • Immunology 316
  • Epidemiology 441
Replace Yaping Chen with:
Yaping Chen China
Robert Palmer United States
Michael Pedersen Denmark
Yong Kong United States
Katharina Ribbeck United States
Olfert Landt Germany
Stephen Harris United Kingdom
Annemarie T. Kristensen Denmark
Nigel J. Saunders United Kingdom
David R. Hillyard United States
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Citations per field
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Citations per year

Countries citing papers authored by Anna L. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Anna L. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna L. Goodman. 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 Anna L. Goodman. The network helps show where Anna L. Goodman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
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COVID-19 Survey in Five National Longitudinal Studies: Waves 1 and 2: User Guide (Version 2)
202028
12 20151
13 201529
14 201327
15 20127
16 201169
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18 20074
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About Anna L. Goodman

Anna L. Goodman is a scholar working on Applied Microbiology and Biotechnology, Microbiology, Virology, Infectious Diseases and Clinical Biochemistry, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (9 papers), Malaria Research and Control (9 papers), COVID-19 Clinical Research Studies (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), HIV Research and Treatment (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Antibiotic Use and Resistance (4 papers). The work is most often cited by research in Virology (158 citations), Public Health, Environmental and Occupational Health (528 citations), Infectious Diseases (286 citations), Immunology (316 citations) and Epidemiology (441 citations). Anna L. Goodman has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Simon J. Draper, Adrian V. S. Hill, Carole A. Long, Sumi Biswas, Alexander D. Douglas, Andrew R. Williams, David Wyllie, Joseph J. Illingworth, Gathoni Kamuyu and Gavin J. Wright. Their work appears in journals such as Clinical Medicine, Infection and Immunity, Vaccine, Nature Communications and American Journal of Tropical Medicine and Hygiene.

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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