R.A. Brown

3.7k citations
100 papers · 2.7k indexed · h-index 30

R.A. Brown

97 papers receiving 2.5k citations

Peers

R.A. Brown
Comparison fields: 5 of 162
  • Fluid Flow and Transfer Processes 264
  • Hematology 359
  • Computational Mechanics 297
  • Cell Biology 218
  • Genetics 133
Replace Yasuo Nakajima with:
Yasuo Nakajima Japan
Nobuyuki Nakajima Japan
Dick W. Slaaf Netherlands
Benjamin W. Zweifach United States
Sehyun Shin South Korea
G.V.F. Seaman United States
David M. Eckmann United States
Xiao Yun Xu United Kingdom
Yohsuke Imai Japan
Jianxun Wang China
R.A. Brown relative to Yasuo Nakajima Japan Yasuo Nakajima's profile →
Citations per field
00.5×6.4×
Yasuo Nakajima · 1×
Citations per year

Countries citing papers authored by R.A. Brown

Since Specialization
Citations

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

Fields of papers citing papers by R.A. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201024
2
First implantable device for hypoxia-induced angiogenic engineering
20101
3 201021
4
Interface integration of rapidly engineered multilayer collagen scaffolds
20081
5 200862
6 20039
7 200072
8 2000101
9 200021
10 199960
11
The Electronic PictureBook and Astronomy's Education Initiative
19951
12 19941
13 198914
14 198811
15 19882
16 19874
17 198439
18
In vitro effects of doxycycline and tetracycline on mitogen stimulated lymphocyte growth.
198313
19 19810
20 195428

About R.A. Brown

R.A. Brown is a scholar working on Hematology, Immunology and Immunology and Allergy, having authored 100 papers that have together received 2.7k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Solidification and crystal growth phenomena (4 papers), Acute Myeloid Leukemia Research (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Mycobacterium research and diagnosis (4 papers), Ocean Acidification Effects and Responses (3 papers) and Pharmacological Effects and Assays (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (264 citations), Hematology (359 citations) and Computational Mechanics (297 citations). R.A. Brown has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include P A MacLennan, R. C. Armstrong, Michael J. Rennie, Jeffrey J. Derby, Lidia M. Quinzani, J. Swanson Beck, Gareth H. McKinley, R C Potts, G. W. Smith and DG McDevitt. Their work appears in journals such as Analytical Chemistry, Blood, British Journal of Clinical Pharmacology, Journal of Clinical Pathology and Journal of Immunological Methods.

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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