Anna M. Upton

3.0k citations
47 papers · 2.2k · h-index 27

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 39
    • Pneumocystis jirovecii pneumonia detection and treatment 10
    • Mycobacterium research and diagnosis 9

Anna M. Upton

46 papers receiving 2.2k citations

Peers

Anna M. Upton
Comparison fields: 5 of 88
  • Infectious Diseases 1.3k
  • Molecular Medicine 216
  • Epidemiology 698
  • Molecular Biology 1.2k
  • Organic Chemistry 353
Replace Cynthia S. Dowd with:
Cynthia S. Dowd United States
Radha Krishan Shandil India
Sowmya Bharath India
E. Jeffrey North United States
Silvia Buroni Italy
Christopher B. Cooper United States
Inhee Choi South Korea
Victoria Jones United States
João Neres Switzerland
Jana Korduláková Slovakia
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Citations per field
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Citations per year

Countries citing papers authored by Anna M. Upton

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Upton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006286
2 2011163
3 2007113
4 2013111
5 201994
6 200190
7 200489
8 201480
9 201980
10 200176
11 201773
12 201871
13 201267
14 201754
15 201953
16 201452
17 202152
18 202147
19 201945
20 202145

About Anna M. Upton

Anna M. Upton is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Molecular Medicine and Pharmacology, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (39 papers), Cancer therapeutics and mechanisms (16 papers), Pneumocystis jirovecii pneumonia detection and treatment (10 papers), Mycobacterium research and diagnosis (9 papers), Biochemical and Molecular Research (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Quinazolinone synthesis and applications (3 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Molecular Medicine (216 citations), Epidemiology (698 citations), Molecular Biology (1.2k citations) and Organic Chemistry (353 citations). Anna M. Upton has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include John D. McKinney, Joseph Cherian, Ernesto J. Muñoz‐Elías, Scott Gary Franzblau, Christopher B. Cooper, Khisimuzi E. Mdluli, James Sandy, Jian Xu, Zhenkun Ma and William Alexander Denny. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry, Biochemical Society Transactions, Molecules and Molecular Microbiology.

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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