Anna Brown

21 papers receiving 213 citations

Peers

Anna Brown
Comparison fields: 5 of 58
  • Reproductive Medicine 48
  • Psychiatry and Mental health 58
  • Library and Information Sciences 6
  • Health Informatics 2
  • Pathology and Forensic Medicine 24
Replace Pan-Ming Chen with:
Pan-Ming Chen Taiwan
Fabio Giuseppe Masuccio Italy
Claudia Panzer United States
Zeinab Dabbous Qatar
Alebtekin Ahangari Sweden
An‐Sofie Goessaert Belgium
Zoya Zaeem Canada
Masahiro Manfuku Japan
Chien‐Ju Lin Taiwan
Núria Grau Spain
Anna Brown relative to Pan-Ming Chen Taiwan Pan-Ming Chen's profile →
Citations per field
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Pan-Ming Chen · 1×
Citations per year

Countries citing papers authored by Anna Brown

Since Specialization
Citations

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

Fields of papers citing papers by Anna Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201954
2 202236
3 201832
4 202118
5 202317
6 202417
7 20256
8 20046
9 20016
10
Outlook for earthquake early warning for Aotearoa New Zealand: Insights from initiating a community-of-practice
20216
11 20244
12 20174
13 20053
14 20243
15 20222
16 20242
17 20232
18 20242
19 20251
20 20251

About Anna Brown

Anna Brown is a scholar working on Psychiatry and Mental health, General Health Professions, Clinical Psychology, Applied Microbiology and Biotechnology and Genetics, having authored 26 papers that have together received 223 indexed citations. Recurring topics across this work include Migraine and Headache Studies (5 papers), Antibiotic Use and Resistance (3 papers), Neurogenetic and Muscular Disorders Research (2 papers), Family and Disability Support Research (2 papers), Obstructive Sleep Apnea Research (2 papers), Medical Device Sterilization and Disinfection (2 papers), Child and Adolescent Health (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Reproductive Medicine (48 citations), Psychiatry and Mental health (58 citations), Library and Information Sciences (6 citations), Health Informatics (2 citations) and Pathology and Forensic Medicine (24 citations). Anna Brown has collaborated with scholars based in United Kingdom, Taiwan and Iran. Frequent co-authors include Olalekan A. Uthman, Ioannis Kyrou, Andrew Metcalfe, Harpal Randeva, Peter Wall, Abd A. Tahrani, Hassan Kahal, Manjit Matharu, Callum W. Duncan and Hema Mistry. Their work appears in journals such as Health Technology Assessment, BMJ Open, The Journal of Headache and Pain, BMJ Open Gastroenterology and Thorax.

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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