Brian J. Kirby

11.1k citations
153 papers · 8.3k indexed · 3 hit papers · h-index 47
Topics
Microfluidic and Bio-sensing Technologies (42 papers)Microfluidic and Capillary Electrophoresis Applications (34 papers)3D Printing in Biomedical Research (14 papers)

In The Last Decade

Brian J. Kirby

146 papers receiving 8.0k citations

Hit Papers

Zeta potential of microfluidic substrates: 1. Theory, exp...2004202620112018200420102012250500750

Peers

Brian J. Kirby
Comparison fields: 5 of 179
  • Biomedical Engineering 4.1k
  • Electrical and Electronic Engineering 1.5k
  • Oncology 1.1k
  • Molecular Biology 870
  • Physical and Theoretical Chemistry 554
Replace Jan Greve with:
Jan Greve Netherlands
Aldo Roda Italy
Jing Liu China
Lei Zhang China
Yunfei Chen China
James Cheng‐Chung Wei Taiwan
Dan C. Sorescu United States
Yongjun Liu China
Lennart Nilsson Sweden
Nan Yao China
Brian J. Kirby relative to Jan Greve Netherlands Jan Greve's profile →
Citations per field
00.5×1.5×2.1×
Jan Greve · 1×
Citations per year

Countries citing papers authored by Brian J. Kirby

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Kirby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Kirby. 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 Brian J. Kirby. The network helps show where Brian J. Kirby may publish in the future.

Co-authorship network of co-authors of Brian J. Kirby

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Kirby. A scholar is included among the top collaborators of Brian J. Kirby based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian J. Kirby. Brian J. Kirby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 0
5 2
6 2
7 2
8 6
9 3
10 0
11 1
12 93
13 2
14 86
15 13
16 3
17 36
18 39
19 198
20 18

About Brian J. Kirby

Brian J. Kirby is a scholar working on Biomedical Engineering, Hepatology and Oncology, having authored 153 papers that have together received 8.3k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (42 papers), Microfluidic and Capillary Electrophoresis Applications (34 papers) and 3D Printing in Biomedical Research (14 papers). The work is most often cited by research in Biomedical Engineering (4.1k citations), Physical and Theoretical Chemistry (554 citations) and Hepatology (348 citations). Brian J. Kirby has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Ernest F. Hasselbrink, Benjamin G. Hawkins, Neil Armstrong, Jason P. Gleghorn, Timothy J. Shepodd, Ronald K. Hanson, Joanne R. Welsman, Vishal Tandon, Steven M. Santana and Erica D. Pratt. Their work appears in journals such as Physical Review Letters, Circulation and Nature Medicine.

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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