Kenneth Brown

65 papers receiving 940 citations

Peers

Kenneth Brown
Comparison fields: 5 of 135
  • Transplantation 109
  • Analytical Chemistry 128
  • Pharmaceutical Science 76
  • Pharmacology 182
  • Pharmacology 68
Replace Mario Eandi with:
Mario Eandi Italy
Anders Andersen Norway
Ben Greijdanus Netherlands
Pierre Lafolie Sweden
Prem K. Narang United States
G. Lockwood United States
Bernard Vinet Canada
Raymond G. Morris Australia
Edmund J.D. Lee Singapore
M. E. Pickup United Kingdom
Kenneth Brown relative to Mario Eandi Italy Mario Eandi's profile →
Citations per field
00.5×4.7×
Mario Eandi · 1×
Citations per year

Countries citing papers authored by Kenneth Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200179
2 197963
3 198559
4 197457
5
In-vitro characterisation of metered dose inhaler versus dry powder inhaler glucocorticoid products: influence of inspiratory flow rates.
200153
6 201044
7 199842
8 197338
9 199737
10 200129
11 198126
12 199624
13 199923
14 199722
15 198420
16 197520
17 198719
18 197518
19 200017
20 198217

About Kenneth Brown

Kenneth Brown is a scholar working on Literature and Literary Theory, Pharmacology, History, Molecular Biology and Surgery, having authored 83 papers that have together received 1.0k indexed citations. Recurring topics across this work include Early Modern Spanish Literature (13 papers), Spanish Literature and Culture Studies (9 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Libraries, Manuscripts, and Books (8 papers), Analytical Chemistry and Chromatography (6 papers), Anesthesia and Sedative Agents (6 papers), Analytical Methods in Pharmaceuticals (5 papers) and Electrolyte and hormonal disorders (5 papers). The work is most often cited by research in Transplantation (109 citations), Analytical Chemistry (128 citations), Pharmaceutical Science (76 citations), Pharmacology (182 citations) and Pharmacology (68 citations). Kenneth Brown has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include M. J. Crooks, Bruce N. Tattam, David J. Cutler, Marek Korczynski, Peter Veng Pedersen, Andrew J. McLachlan, J. Paul Seale, John Whitlam, Neal M. Davies and S. E. Tett. Their work appears in journals such as Journal of Pharmaceutical Sciences, European Journal of Clinical Pharmacology, Journal of Pharmacy and Pharmacology, Clinical Pharmacology & Therapeutics and Sefarad.

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.

Explore authors with similar magnitude of impact