Matthew J. Wasco

27 total papers · 1.0k total citations
19 papers, 680 citations indexed

About

Matthew J. Wasco is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Matthew J. Wasco has authored 19 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 7 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Matthew J. Wasco's work include Renal cell carcinoma treatment (5 papers), Urinary and Genital Oncology Studies (4 papers) and Bladder and Urothelial Cancer Treatments (3 papers). Matthew J. Wasco is often cited by papers focused on Renal cell carcinoma treatment (5 papers), Urinary and Genital Oncology Studies (4 papers) and Bladder and Urothelial Cancer Treatments (3 papers). Matthew J. Wasco collaborates with scholars based in United States, Czechia and India. Matthew J. Wasco's co-authors include Rajal B. Shah, Stephanie Daignault, Lakshmi P. Kunju, Cheryl T. Lee, Robert T. Pu, Michael D. Kinnaman, Yingxi Zhang, Thomas Braun, Deborah Bradley and Lei Wang and has published in prestigious journals such as Cancer Research, The Journal of Urology and The American Journal of Surgical Pathology.

In The Last Decade

Matthew J. Wasco

18 papers receiving 673 citations

Author Peers

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

Author						Papers	Cites
Matthew J. Wasco	300	252	198	118	111	19	680
Peter Buhtz	360 1.2×	143 0.6×	146 0.7×	150 1.3×	167 1.5×	23	735
William R. Fair	331 1.1×	203 0.8×	238 1.2×	40 0.3×	214 1.9×	14	712
Riley E. Alexander	269 0.9×	180 0.7×	142 0.7×	90 0.8×	168 1.5×	19	572
E. Hirst	242 0.8×	140 0.6×	106 0.5×	113 1.0×	250 2.3×	25	723
Maria Del Carmen Rodriguez Peña	343 1.1×	190 0.8×	221 1.1×	61 0.5×	138 1.2×	29	619
Güneş Güner	350 1.2×	230 0.9×	164 0.8×	44 0.4×	305 2.7×	38	705
Marília Germanos de Castro	161 0.5×	255 1.0×	243 1.2×	37 0.3×	108 1.0×	24	588
Jeffrey H. Reese	181 0.6×	406 1.6×	218 1.1×	110 0.9×	72 0.6×	23	687
Martin Friedrich	439 1.5×	127 0.5×	218 1.1×	113 1.0×	244 2.2×	17	757
William Crabtree	372 1.2×	142 0.6×	224 1.1×	73 0.6×	188 1.7×	29	753

Countries citing papers authored by Matthew J. Wasco

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. Wasco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Wasco

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