Daniel Brown

30 papers receiving 376 citations

Peers

Daniel Brown
Comparison fields: 5 of 98
  • Health, Toxicology and Mutagenesis 105
  • Chemical Health and Safety 5
  • Radiological and Ultrasound Technology 26
  • General Health Professions 68
  • Public Health, Environmental and Occupational Health 70
Replace Bruce N. Leistikow with:
Bruce N. Leistikow United States
John R. Wilkins United States
Arif Çımrın Türkiye
JP Zock Spain
A Farrow United Kingdom
William A. Sollecito United States
Elizabeth Wasilevich United States
Antonella Bena Italy
Matthew London United States
Kendra L. Ratnapradipa United States
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Citations per field
00.5×4.8×
Bruce N. Leistikow · 1×
Citations per year

Countries citing papers authored by Daniel Brown

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 197943
3 201336
4 201831
5 202230
6 201524
7
Portal vein thrombosis in patients receiving indinavir, an HIV protease inhibitor.
199724
8 198323
9 201318
10 201816
11 201815
12 202214
13 201613
14 201912
15 201812
16 201810
17 20178
18 20047
19 20186
20 20234

About Daniel Brown

Daniel Brown is a scholar working on Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, General Health Professions, Pollution and Radiological and Ultrasound Technology, having authored 31 papers that have together received 408 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (9 papers), Occupational and environmental lung diseases (6 papers), Occupational Health and Safety Research (3 papers), Energy and Environment Impacts (3 papers), Advanced Causal Inference Techniques (2 papers), Supply Chain and Inventory Management (2 papers), Assembly Line Balancing Optimization (2 papers) and Food Security and Health in Diverse Populations (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (105 citations), Chemical Health and Safety (5 citations), Radiological and Ultrasound Technology (26 citations), General Health Professions (68 citations) and Public Health, Environmental and Occupational Health (70 citations). Daniel Brown has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Ellen A. Eisen, Sadie Costello, Sally Picciotto, Andreas M. Neophytou, Mark R. Cullen, Elizabeth M. Noth, Dawn Cooper, Andrew Carr, Monika A. Izano and Jacqueline M. Ferguson. Their work appears in journals such as American Journal of Epidemiology, Epidemiology, The American Journal of Gastroenterology, Thorax and SSM - Population Health.

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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