Matthew McKinney

851 total citations
34 papers, 419 citations indexed

About

Matthew McKinney is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Matthew McKinney has authored 34 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 14 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Matthew McKinney's work include Lymphoma Diagnosis and Treatment (14 papers), CAR-T cell therapy research (9 papers) and Chronic Lymphocytic Leukemia Research (6 papers). Matthew McKinney is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), CAR-T cell therapy research (9 papers) and Chronic Lymphocytic Leukemia Research (6 papers). Matthew McKinney collaborates with scholars based in United States, United Kingdom and Israel. Matthew McKinney's co-authors include John H. Strickler, Donna Niedzwiecki, Rebecca J. Nagy, Allan Andresson Lima Pereira, Aparna R. Parikh, W. Michael Korn, Kimberly C. Banks, Funda Meric‐Bernstam, AmirAli Talasaz and Richard B. Lanman and has published in prestigious journals such as Blood, Clinical Cancer Research and Journal of the Atmospheric Sciences.

In The Last Decade

Matthew McKinney

31 papers receiving 409 citations

Peers

Matthew McKinney
Comparison fields: 5 of 64
  • Oncology 268
  • Pathology and Forensic Medicine 201
  • Cancer Research 170
  • Molecular Biology 98
  • Pulmonary and Respiratory Medicine 74
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Marie Cornic France
F. Ong Netherlands
Panteli Theocharous United Kingdom
Laurence Hatteville France
Yunfei Shi China
Naseer Qayum United Kingdom
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Citations per field, relative to Matthew McKinney
Matthew McKinney · 1×
Citations per year, relative to Matthew McKinney
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Countries citing papers authored by Matthew McKinney

Since Specialization
Citations

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

Fields of papers citing papers by Matthew McKinney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew McKinney

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew McKinney. A scholar is included among the top collaborators of Matthew McKinney 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 Matthew McKinney. Matthew McKinney 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 1
2 1
3 1
4 1
5 3
6 1
7 0
8 13
9 3
10 7
11 7
12 196
13 2
14 3
15 0
16 1
17 3
18 3
19 45
20
Working Across Boundaries: A Framework for Regional Collaboration
6

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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