Philip J. Burke

6.0k citations
109 papers · 4.8k indexed · 1 hit paper · h-index 35
Topics
Acute Myeloid Leukemia Research (22 papers)Acute Lymphoblastic Leukemia research (17 papers)Cancer therapeutics and mechanisms (16 papers)

In The Last Decade

Philip J. Burke

109 papers receiving 4.6k citations

Hit Papers

Synthesis of some imidazole‐ and pyrazole‐ derived chelat...19812026199620111981100200300

Peers

Philip J. Burke
Comparison fields: 5 of 142
  • Molecular Biology 1.8k
  • Oncology 1.6k
  • Hematology 1.3k
  • Organic Chemistry 560
  • Public Health, Environmental and Occupational Health 529
Replace Raymond L. Blakley with:
Raymond L. Blakley United States
Francis M. Sirotnak United States
A. Rosowsky United States
Yehuda G. Assaraf Israel
Christopher R. Chitambar United States
Peter Kirkpatrick United States
F.M. Huennekens United States
Edith Sim United Kingdom
Irwin H. Krakoff United States
M. Micksche Austria
Philip J. Burke relative to Raymond L. Blakley United States Raymond L. Blakley's profile →
Citations per field
00.5×3.2×
Raymond L. Blakley · 1×
Citations per year

Countries citing papers authored by Philip J. Burke

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip J. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Burke. A scholar is included among the top collaborators of Philip J. Burke 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 Philip J. Burke. Philip J. Burke 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 2
2 98
3 13
4 31
5 11
6 6
7 35
8 79
9 11
10 17
11 26
12 16
13 2
14 86
15 11
16 65
17 8
18 10
19
The Division of Personnel Preparation: How Funding Priorities Are Established and a Personal Assessment of the Impact of PL 94-142.
1
20 7

About Philip J. Burke

Philip J. Burke is a scholar working on Fuel Technology, Hematology and Biotechnology, having authored 109 papers that have together received 4.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Acute Lymphoblastic Leukemia research (17 papers) and Cancer therapeutics and mechanisms (16 papers). The work is most often cited by research in Hematology (1.3k citations), Oncology (1.6k citations) and Clinical Biochemistry (215 citations). Philip J. Burke has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Judith E. Karp, Anthony W. Addison, Rein Saral, Scott H. Kaufmann, David R. McMillin, Steven D. Gore, Ebun Eno‐Amooquaye, William P. Vaughan, Phyllis A. Svingen and John C. Reed. Their work appears in journals such as Science, New England Journal of Medicine and Journal of Clinical Oncology.

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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