Julian Borrow

5.5k total citations · 2 hit papers
24 papers, 4.1k citations indexed

About

Julian Borrow is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Julian Borrow has authored 24 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Hematology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Julian Borrow's work include Acute Myeloid Leukemia Research (16 papers), Retinoids in leukemia and cellular processes (8 papers) and Protein Degradation and Inhibitors (7 papers). Julian Borrow is often cited by papers focused on Acute Myeloid Leukemia Research (16 papers), Retinoids in leukemia and cellular processes (8 papers) and Protein Degradation and Inhibitors (7 papers). Julian Borrow collaborates with scholars based in United Kingdom, United States and Canada. Julian Borrow's co-authors include Ellen Solomon, Audrey D. Goddard, Denise Sheer, David E. Housman, Paul S. Freemont, Ian D. Dubé, R. Becher, Vincent P. Stanton, Janet D. Rowley and Frederick G. Behm and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Julian Borrow

24 papers receiving 4.0k citations

Hit Papers

The translocation t(8;16)(p11;p13) of acute myeloid leuka... 1990 2026 2002 2014 1996 1990 200 400 600

Peers

Julian Borrow
Comparison fields: 5 of 110
  • Molecular Biology 3.2k
  • Hematology 1.6k
  • Genetics 835
  • Oncology 443
  • Cancer Research 340
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Citations per field, relative to Julian Borrow
Julian Borrow · 1×
Citations per year, relative to Julian Borrow
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Countries citing papers authored by Julian Borrow

Since Specialization
Citations

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

Fields of papers citing papers by Julian Borrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Borrow

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Borrow. A scholar is included among the top collaborators of Julian Borrow 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 Julian Borrow. Julian Borrow 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
# Work Indexed citations
1 27
2 27
3 69
4 238
5 152
6 168
7 269
8 372
9
The translocation t(8;16)(p11;p13) of acute myeloid leukaemia fuses a putative acetyltransferase to the CREB–binding protein breakdown →
603
10 20
11 462
12 25
13
A somatic cell hybrid map of the long arm of human chromosome 17, containing the familial breast cancer locus (BRCA1).
29
14 131
15 17
16
A previously uncharacterized gene, PML, is fused to the retinoic acid receptor alpha gene in acute promyelocytic leukaemia.
15
17 10
18 489
19 15
20 403

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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