Ann N. Burchell

14.6k citations
309 papers · 9.0k indexed · 3 hit papers · h-index 43

Impact in

  • Rheumatology top 0.5%
    • Glycogen Storage Diseases and Myoclonus
  • Epidemiology top 0.5%
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies

Papers in

Ann N. Burchell

299 papers receiving 8.7k citations

Hit Papers

Epidemiology and Natural History of Human Papillomavirus Infections and Type-Specific Implications in Cervical Neoplasia 2008 · 634 citations
6341978202619942010200400600

Peers

Ann N. Burchell
Comparison fields: 5 of 154
  • Rheumatology 1.6k
  • Epidemiology 3.0k
  • Biochemistry 586
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Microbiology 422
Replace Thomas M. Stulnig with:
Thomas M. Stulnig Austria
Helen R. Griffiths United Kingdom
Hubert Kolb Germany
Christian J. Wiedermann Austria
Calogero Caruso Italy
Fumitake Gejyo Japan
Brian D. Poole United States
Patricia A. Thompson United States
Kurt J. Isselbacher United States
David R. Katz United Kingdom
Ann N. Burchell relative to Thomas M. Stulnig Austria Thomas M. Stulnig's profile →
Citations per field
00.5×5.1×
Thomas M. Stulnig · 1×
Citations per year

Countries citing papers authored by Ann N. Burchell

Since Specialization
Citations

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

Fields of papers citing papers by Ann N. Burchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann N. Burchell. 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 Ann N. Burchell. The network helps show where Ann N. Burchell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
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11 20205
12 202030
13 202010
14 20209
15 20199
16 20175
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18 20176
19 201628
20 201326

About Ann N. Burchell

Ann N. Burchell is a scholar working on Rheumatology, Infectious Diseases, Epidemiology, Virology and Biochemistry, having authored 309 papers that have together received 9.0k indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (95 papers), HIV/AIDS Research and Interventions (76 papers), HIV, Drug Use, Sexual Risk (56 papers), Cervical Cancer and HPV Research (55 papers), Pancreatic function and diabetes (55 papers), Genital Health and Disease (30 papers), Biochemical and Molecular Research (27 papers) and Metabolism, Diabetes, and Cancer (25 papers). The work is most often cited by research in Rheumatology (1.6k citations), Epidemiology (3.0k citations), Biochemistry (586 citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Microbiology (422 citations). Ann N. Burchell has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Robert Hume, Ian D. Waddell, Eduardo L. Franco, Silvia de Sanjosé, Brian Burchell, Dieter Schmoll, Philip Cohen, Patricia T.W. Cohen, Mark Schiffman and Susanne K. Kjær. Their work appears in journals such as Biochemical Journal, Biochemical Society Transactions, FEBS Letters, Sexually Transmitted Diseases and The Journal of Infectious Diseases.

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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