Sarah Brown

6.3k citations
132 papers · 2.9k indexed · 1 hit paper · h-index 25
Topics
Multiple Myeloma Research and Treatments (36 papers)Protein Degradation and Inhibitors (24 papers)Statistical Methods in Clinical Trials (11 papers)
Journals
The LancetJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Sarah Brown

123 papers receiving 2.8k citations

Hit Papers

Effect of tight control of inflammation in early psoriati...20152026201820222015100200300

Peers

Sarah Brown
Comparison fields: 5 of 130
  • Oncology 938
  • Cancer Research 585
  • Pulmonary and Respiratory Medicine 536
  • Surgery 496
  • Radiology, Nuclear Medicine and Imaging 496
Replace Qi Jiang with:
Qi Jiang China
Madhu Mazumdar United States
Jungnam Joo South Korea
Bingshu E. Chen Canada
Andreas Brandt Germany
Alan R. Schned United States
Patricia Guyot France
Michele Nichelatti Italy
Gyeong‐Won Lee South Korea
Florence Duffaud France
Sarah Brown relative to Qi Jiang China Qi Jiang's profile →
Citations per field
00.5×1.5×
Qi Jiang · 1×
Citations per year

Countries citing papers authored by Sarah Brown

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Brown. A scholar is included among the top collaborators of Sarah 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 Sarah Brown. Sarah 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 1
2 1
3 0
4 0
5 1
6 0
7 0
8 2
9 6
10 2
11 54
12 2
13 5
14 2
15 17
16 4
17 17
18 43
19 31
20 28

About Sarah Brown

Sarah Brown is a scholar working on Hematology, Oncology and Statistics and Probability, having authored 132 papers that have together received 2.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (36 papers), Protein Degradation and Inhibitors (24 papers) and Statistical Methods in Clinical Trials (11 papers). The work is most often cited by research in Hematology (471 citations), Cancer Research (585 citations) and Oncology (938 citations). Sarah Brown has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Julia Brown, Vicky Napp, Phil Drew, Lindsay W. Turnbull, Andrew M. Hanby, Catherine Olivier, Ian Harvey, Michael Fenech, Jimmy W. Crott and David Jayne. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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