Greg Ball

1.2k citations
33 papers · 931 · h-index 13

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
  • Toxicology top 2%
    • Pharmacovigilance and Adverse Drug Reactions

Papers in

Greg Ball

32 papers receiving 897 citations

Peers

Greg Ball
Comparison fields: 5 of 59
  • Hematology 423
  • Toxicology 71
  • Genetics 111
  • Statistics and Probability 89
  • Endocrinology, Diabetes and Metabolism 71
Replace Karı̈n Gogat with:
Karı̈n Gogat France
Karl-Heinz Pflüger Germany
Joseph E. Eid United States
L. Véronèse Switzerland
Iryna Kriachok Ukraine
Ann Mohrbacher United States
Keyur Patel United States
Mecide Meric Gharibo United States
Brandi W. Hilder United States
Anne‐Laure Taksin France
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Citations per field
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Karı̈n Gogat · 1×
Citations per year

Countries citing papers authored by Greg Ball

Since Specialization
Citations

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

Fields of papers citing papers by Greg Ball

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002317
2 201594
3 201277
4 200275
5
The proteasome inhibitor PS-341 inhibits growth and induces apoptosis in Bcr/Abl-positive cell lines sensitive and resistant to imatinib mesylate.
200363
6 200848
7 201633
8 200332
9 201627
10 201618
11 201115
12 201113
13 202113
14 200211
15 201110
16 201910
17 20049
18 20168
19 20207
20 20207

About Greg Ball

Greg Ball is a scholar working on Statistics and Probability, Toxicology, Hematology, Sensory Systems and Nephrology, having authored 33 papers that have together received 931 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (15 papers), Pharmacovigilance and Adverse Drug Reactions (10 papers), Chronic Myeloid Leukemia Treatments (3 papers), Acute Myeloid Leukemia Research (2 papers), Pharmaceutical studies and practices (1 paper), Acute Kidney Injury Research (1 paper), Radiation Dose and Imaging (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Hematology (423 citations), Toxicology (71 citations), Genetics (111 citations), Statistics and Probability (89 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Greg Ball has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Francesco Onida, Hagop M. Kantarjian, Michael J. Keating, Miloslav Beran, Armand B. Glassman, Terry L. Smith, Maher X. Albitar, Elihu H. Estey, Monica I. Kwari and Patrick Schnell. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Contemporary Clinical Trials, Blood, Pharmaceutical Statistics and American Journal of Clinical Pathology.

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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