Matthew Painschab

74 total papers · 692 total citations
31 papers, 370 citations indexed

About

Matthew Painschab is a scholar working on Oncology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Matthew Painschab has authored 31 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 16 papers in Pathology and Forensic Medicine and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Matthew Painschab's work include Lymphoma Diagnosis and Treatment (16 papers), Viral-associated cancers and disorders (15 papers) and Acute Lymphoblastic Leukemia research (4 papers). Matthew Painschab is often cited by papers focused on Lymphoma Diagnosis and Treatment (16 papers), Viral-associated cancers and disorders (15 papers) and Acute Lymphoblastic Leukemia research (4 papers). Matthew Painschab collaborates with scholars based in United States, Malawi and Peru. Matthew Painschab's co-authors include Robert E. Schwartz, Catherine M. Verfaillie, Wei‐Shou Hu, Jonathan L. Linehan, Dan S. Kaufman, Satish Gopal, Yuri Fedoriw, Víctor G. Dávila‐Román, William Checkley and Stephen Kimani and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Matthew Painschab

28 papers receiving 362 citations

Author Peers

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

Author						Papers	Cites
Matthew Painschab	141	101	98	63	60	31	370
Xu Zeng	94 0.7×	32 0.3×	62 0.6×	33 0.5×	16 0.3×	28	349
R Gentile	154 1.1×	128 1.3×	29 0.3×	10 0.2×	29 0.5×	38	437
Chao Zhang	36 0.3×	29 0.3×	75 0.8×	103 1.6×	13 0.2×	27	342
Nor Aini Abdullah	65 0.5×	15 0.1×	55 0.6×	35 0.6×	13 0.2×	20	435
Mina Kato	83 0.6×	25 0.2×	13 0.1×	64 1.0×	63 1.1×	40	371
Doaa Hashad	58 0.4×	27 0.3×	184 1.9×	14 0.2×	19 0.3×	33	392
Agnieszka Szymczyk	112 0.8×	62 0.6×	81 0.8×	54 0.9×	5 0.1×	40	362
Mustafa Özdemir	53 0.4×	38 0.4×	22 0.2×	10 0.2×	29 0.5×	42	384
Maria Antonietta Trovato	64 0.5×	10 0.1×	46 0.5×	35 0.6×	17 0.3×	16	363
G Veltman	38 0.3×	87 0.9×	28 0.3×	29 0.5×	11 0.2×	38	375

Countries citing papers authored by Matthew Painschab

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Painschab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Painschab

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Painschab. A scholar is included among the top collaborators of Matthew Painschab 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 Painschab. Matthew Painschab 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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