Kristy J. Brown

3.1k citations
63 papers · 2.1k indexed · h-index 27
Topics
Muscle Physiology and Disorders (27 papers)Virus-based gene therapy research (7 papers)Advanced Proteomics Techniques and Applications (7 papers)

In The Last Decade

Kristy J. Brown

62 papers receiving 2.1k citations

Peers

Kristy J. Brown
Comparison fields: 5 of 118
  • Molecular Biology 1.4k
  • Cell Biology 408
  • Physiology 303
  • Surgery 274
  • Epidemiology 192
Replace Marcella Cintorino with:
Marcella Cintorino Italy
Claudia Wohlenberg Germany
Akihiko Ito Japan
Rehannah Borup Denmark
Chloé C. Féral France
Anna M. Piccinini United Kingdom
Nevis Fregien United States
Leslie S. Cutler United States
Cornelia Hauser‐Kronberger Austria
Nathan Lee United States
Kristy J. Brown relative to Marcella Cintorino Italy Marcella Cintorino's profile →
Citations per field
00.5×8.3×
Marcella Cintorino · 1×
Citations per year

Countries citing papers authored by Kristy J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kristy J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristy J. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Kristy J. Brown. A scholar is included among the top collaborators of Kristy J. Brown 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 Kristy J. Brown. Kristy J. Brown 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 16
2 14
3 15
4 8
5 27
6 33
7 4
8 46
9 5
10 22
11 28
12 35
13 45
14 87
15 19
16 13
17 98
18 2
19 7
20 3

About Kristy J. Brown

Kristy J. Brown is a scholar working on Otorhinolaryngology, Cell Biology and Molecular Biology, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (27 papers), Virus-based gene therapy research (7 papers) and Advanced Proteomics Techniques and Applications (7 papers). The work is most often cited by research in Otorhinolaryngology (122 citations), Cell Biology (408 citations) and Molecular Biology (1.4k citations). Kristy J. Brown has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Yetrib Hathout, Terry T. Turner, Jyoti K. Jaiswal, Eric P. Hoffman, Aurélia Defour, Nimisha Sharma, Sushma Medikayala, Kanneboyina Nagaraju, Sen Chandra Sreetama and Sree Rayavarapu. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

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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