Paul Harker‐Murray

47 total papers · 676 total citations
27 papers, 350 citations indexed

About

Paul Harker‐Murray is a scholar working on Pathology and Forensic Medicine, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Paul Harker‐Murray has authored 27 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 12 papers in Oncology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Paul Harker‐Murray's work include Lymphoma Diagnosis and Treatment (14 papers), Acute Lymphoblastic Leukemia research (6 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). Paul Harker‐Murray is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), Acute Lymphoblastic Leukemia research (6 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). Paul Harker‐Murray collaborates with scholars based in United States, Netherlands and France. Paul Harker‐Murray's co-authors include Kara M. Kelly, John E. Wagner, Richard A. Drachtman, Peter D. Cole, Pablo Rubinstein, Keli L. Hippen, Tatiana N. Golovina, Angela Panoskaltsis‐Mortari, Jeffrey S. Miller and Bruce R. Blazar and has published in prestigious journals such as Journal of Clinical Oncology, Blood and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Paul Harker‐Murray

27 papers receiving 344 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paul Harker‐Murray 129 129 98 74 67 27 350
Masahiro Yasui 119 0.9× 145 1.1× 58 0.6× 86 1.2× 23 0.3× 40 398
Samuel G. Murphy 132 1.0× 99 0.8× 46 0.5× 85 1.1× 38 0.6× 21 356
Chiara Savignano 67 0.5× 158 1.2× 88 0.9× 165 2.2× 42 0.6× 27 377
Geothy Chakupurakal 154 1.2× 126 1.0× 53 0.5× 154 2.1× 23 0.3× 28 365
Yuichiro Nawa 50 0.4× 101 0.8× 88 0.9× 146 2.0× 27 0.4× 32 337
Ayumi Numata 75 0.6× 96 0.7× 78 0.8× 145 2.0× 38 0.6× 38 307
Naoya Ochiai 73 0.6× 95 0.7× 47 0.5× 149 2.0× 22 0.3× 21 303
Valkal Bhatt 45 0.3× 134 1.0× 69 0.7× 123 1.7× 39 0.6× 43 380
Joanna Romejko‐Jarosińska 44 0.3× 126 1.0× 217 2.2× 39 0.5× 64 1.0× 42 302
Yoshitaka Nakao 113 0.9× 65 0.5× 57 0.6× 172 2.3× 23 0.3× 26 333

Countries citing papers authored by Paul Harker‐Murray

Since Specialization
Citations

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

Fields of papers citing papers by Paul Harker‐Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Harker‐Murray. 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 Paul Harker‐Murray. The network helps show where Paul Harker‐Murray may publish in the future.

Co-authorship network of co-authors of Paul Harker‐Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Harker‐Murray. A scholar is included among the top collaborators of Paul Harker‐Murray 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 Paul Harker‐Murray. Paul Harker‐Murray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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