Anna King

103 papers receiving 2.8k citations

Peers

Anna King
Comparison fields: 5 of 125
  • Molecular Medicine 1.0k
  • Applied Microbiology and Biotechnology 147
  • Clinical Biochemistry 364
  • Pharmacology 863
  • Endocrinology 257
Replace Thomas D. Gootz with:
Thomas D. Gootz United States
J. M. Andrews United Kingdom
John D. Williams United Kingdom
H Kropp United States
Frederick M. Kahan United States
Andrea Novelli Italy
F. Jehl France
George H. Miller United States
D P Bonner United States
J S Wolfson United States
Anna King relative to Thomas D. Gootz United States Thomas D. Gootz's profile →
Citations per field
00.5×3.8×
Thomas D. Gootz · 1×
Citations per year

Countries citing papers authored by Anna King

Since Specialization
Citations

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

Fields of papers citing papers by Anna King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020151
2 1995128
3 199694
4 200493
5 201789
6 200089
7 198888
8 197385
9 200183
10 198679
11 201972
12 200170
13 198468
14 198667
15 198262
16 197658
17 201956
18 198055
19 199254
20 198154

About Anna King

Anna King is a scholar working on Molecular Medicine, Pharmacology, Epidemiology, Infectious Diseases and Clinical Biochemistry, having authored 103 papers that have together received 3.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (37 papers), Antibiotics Pharmacokinetics and Efficacy (30 papers), Antimicrobial Resistance in Staphylococcus (19 papers), Bacterial Identification and Susceptibility Testing (19 papers), Pneumonia and Respiratory Infections (9 papers), Metal complexes synthesis and properties (9 papers), Reproductive Biology and Fertility (7 papers) and Sperm and Testicular Function (6 papers). The work is most often cited by research in Molecular Medicine (1.0k citations), Applied Microbiology and Biotechnology (147 citations), Clinical Biochemistry (364 citations), Pharmacology (863 citations) and Endocrinology (257 citations). Anna King has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Ian Phillips, Kevin Shannon, Justin J. Wilson, Christine Warren, Susannah Eykyn, G.L. French, Samantha N. MacMillan, Freddy E. Escorcia, Metin Avkiran and Robert S. Haworth. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, Clinical Microbiology and Infection, European Journal of Clinical Microbiology & Infectious Diseases and Gastroenterology.

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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