Anna M. Upton

2.9k citations
41 papers · 2.0k indexed · h-index 26

Impact in

Papers in

Anna M. Upton

41 papers receiving 2.0k citations

Peers

Anna M. Upton
Comparison fields: 5 of 89
  • Infectious Diseases 1.2k
  • Molecular Medicine 209
  • Epidemiology 693
  • Molecular Biology 1.2k
  • Pharmacology 104
Replace Ujjini H. Manjunatha with:
Ujjini H. Manjunatha United States
Laurent R. Chiarelli Italy
E. Jeffrey North United States
Giuseppe Manfroni Italy
Mikhail V. Keniya New Zealand
B. V. Nikonenko Russia
Khisimuzi Mdluli United States
Leo Einck United States
Giovanna Poce Italy
Jef Van Gestel Belgium
Anna M. Upton relative to Ujjini H. Manjunatha United States Ujjini H. Manjunatha's profile →
Citations per field
00.5×1.7×
Ujjini H. Manjunatha · 1×
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-authorship network

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
#Work
1 20224
2 202139
3 202138
4 20219
5 20209
6 202018
7 201940
8 201981
9 201929
10 201971
11 201859
12 201748
13 2015146
14 2011152
15 2006276
16 200213
17 200167
18 200184
19 200025
20 199932

About Anna M. Upton

Anna M. Upton is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Molecular Biology and Clinical Biochemistry, having authored 41 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (33 papers), Cancer therapeutics and mechanisms (16 papers), Mycobacterium research and diagnosis (10 papers), Pneumocystis jirovecii pneumonia detection and treatment (8 papers), Biochemical and Molecular Research (5 papers), Antibiotic Resistance in Bacteria (4 papers), Quinazolinone synthesis and applications (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Molecular Medicine (209 citations), Epidemiology (693 citations), Molecular Biology (1.2k citations) and Pharmacology (104 citations). Anna M. Upton has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include John D. McKinney, Khisimuzi Mdluli, Takushi Kaneko, Ernesto J. Muñoz‐Elías, Joseph Cherian, Scott G. Franzblau, Christopher B. Cooper, James Sandy, Zhenkun Ma and Jian Xu. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry, Biochemical Society Transactions, Molecular Microbiology and Bioorganic & Medicinal Chemistry Letters.

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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