J. A. Ware

22 papers receiving 577 citations

Peers

J. A. Ware
Comparison fields: 5 of 74
  • Genetics 130
  • Pharmaceutical Science 49
  • Oncology 218
  • Pulmonary and Respiratory Medicine 215
  • Hematology 61
Replace Rajendra Pradhan with:
Rajendra Pradhan United States
Stefanie L. Groenland Netherlands
Masako Ura Japan
Hideaki Fujii Japan
Andreas Lindauer Germany
Sander Bins Netherlands
Greta Cipriani Italy
Karel Eechoute Netherlands
James Jiao United States
Friederike Kanefendt Germany
J. A. Ware relative to Rajendra Pradhan United States Rajendra Pradhan's profile →
Citations per field
00.5×1.5×1.8×
Rajendra Pradhan · 1×
Citations per year

Countries citing papers authored by J. A. Ware

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Ware

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012271
2 201160
3 200953
4 200934
5 201133
6 201125
7 201021
8 201118
9 198916
10 19839
11 20119
12 20108
13 20097
14 20146
15 20146
16 20165
17 20095
18 20084
19 20104
20 19953

About J. A. Ware

J. A. Ware is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Genetics and Hematology, having authored 23 papers that have together received 599 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Lung Cancer Treatments and Mutations (7 papers), Cancer Treatment and Pharmacology (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Advanced Breast Cancer Therapies (4 papers), Cancer Genomics and Diagnostics (3 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Genetics (130 citations), Pharmaceutical Science (49 citations), Oncology (218 citations), Pulmonary and Respiratory Medicine (215 citations) and Hematology (61 citations). J. A. Ware has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Mark J. Dresser, Scott N. Holden, Adam Frymoyer, Leslie Z. Benet, Nageshwar Budha, Kathryn Mazina, Johann S. de Bono, Mika K. Derynck, Amy J. Wagner and Y. Yan. Their work appears in journals such as Journal of Clinical Oncology, Journal of Pharmaceutical and Biomedical Analysis, International Journal of Mass Spectrometry, Clinical Pharmacology & Therapeutics and Diseases of the Colon & Rectum.

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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