Brian Ball

1.7k citations
45 papers · 1.0k · h-index 14

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 33
    • Chronic Myeloid Leukemia Treatments 9
    • Histone Deacetylase Inhibitors Research 13
    • Protein Degradation and Inhibitors 4

Brian Ball

42 papers receiving 1.0k citations

Peers

Brian Ball
Comparison fields: 5 of 62
  • Hematology 576
  • Genetics 397
  • Molecular Biology 625
  • Cancer Research 114
  • Rheumatology 91
Replace Mahnaz Paktinat with:
Mahnaz Paktinat United States
Chung Hoow Kok Australia
YinWei Ho United States
J. Erika Haydu United States
Mauro Nanni Italy
Matthew S. Zabriskie United States
Ruth Knops Netherlands
Vera Magistroni Italy
Eri Kawata Japan
Wolfgang Warsch Austria
Brian Ball relative to Mahnaz Paktinat United States Mahnaz Paktinat's profile →
Citations per field
00.5×3.3×
Mahnaz Paktinat · 1×
Citations per year

Countries citing papers authored by Brian Ball

Since Specialization
Citations

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

Fields of papers citing papers by Brian Ball

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010285
2 2010269
3 201179
4 202078
5 200960
6 201658
7 202323
8 201821
9 202417
10 201917
11 202214
12 201013
13 202113
14 201913
15 200913
16 202210
17 20227
18 20205
19 20234
20 20194

About Brian Ball

Brian Ball is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Epidemiology, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (33 papers), Histone Deacetylase Inhibitors Research (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Chronic Myeloid Leukemia Treatments (9 papers), Acute Lymphoblastic Leukemia research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Protein Degradation and Inhibitors (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (576 citations), Genetics (397 citations), Molecular Biology (625 citations), Cancer Research (114 citations) and Rheumatology (91 citations). Brian Ball has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Benjamin L. Ebert, Michael G. Kharas, D. Gary Gilliland, Mahnaz Paktinat, Steven Lane, Fátima Al‐Shahrour, Rachel Okabe, Ann Mullally, Thomas Mercher and Thomas Prébet. Their work appears in journals such as Blood, Blood Advances, Haematologica, Nature Medicine and Leukemia Research.

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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