T.J. Nevill

22 total papers · 562 total citations
12 papers, 429 citations indexed

About

T.J. Nevill is a scholar working on Oncology, Hematology and Surgery. According to data from OpenAlex, T.J. Nevill has authored 12 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Hematology and 2 papers in Surgery. Recurrent topics in T.J. Nevill's work include Hematopoietic Stem Cell Transplantation (3 papers), Acute Myeloid Leukemia Research (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). T.J. Nevill is often cited by papers focused on Hematopoietic Stem Cell Transplantation (3 papers), Acute Myeloid Leukemia Research (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). T.J. Nevill collaborates with scholars based in Canada, United States and New Zealand. T.J. Nevill's co-authors include Cynthia L. Toze, JD Shepherd, SH Nantel, Natasha Phillips, Peter Stevenson‐Moore, Donna E. Hogge, M. J. Barnett, GL Phillips, Colin Smith and H.J. Sutherland and has published in prestigious journals such as Annals of Oncology, Bone Marrow Transplantation and Transplantation Proceedings.

In The Last Decade

T.J. Nevill

11 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
T.J. Nevill 205 130 90 89 56 12 429
Jean M. Stern 247 1.2× 140 1.1× 13 0.1× 60 0.7× 31 0.6× 11 407
Milka M. Montiel 78 0.4× 43 0.3× 51 0.6× 38 0.4× 29 0.5× 17 396
Ashley Teusink 118 0.6× 48 0.4× 36 0.4× 33 0.4× 46 0.8× 16 452
Dorothy Lewis 226 1.1× 61 0.5× 34 0.4× 41 0.5× 88 1.6× 12 376
Florence Aslinia 72 0.4× 153 1.2× 27 0.3× 16 0.2× 60 1.1× 13 471
K. A. Sobocinski 225 1.1× 91 0.7× 24 0.3× 113 1.3× 46 0.8× 12 484
Marie E. Malachowski 214 1.0× 70 0.5× 82 0.9× 18 0.2× 39 0.7× 11 370
JP Dutcher 311 1.5× 89 0.7× 10 0.1× 26 0.3× 39 0.7× 14 424
J. Smith 76 0.4× 35 0.3× 70 0.8× 30 0.3× 141 2.5× 11 461
Martin Griebel 18 0.1× 55 0.4× 43 0.5× 47 0.5× 24 0.4× 12 476

Countries citing papers authored by T.J. Nevill

Since Specialization
Citations

This map shows the geographic impact of T.J. Nevill'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 T.J. Nevill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Nevill more than expected).

Fields of papers citing papers by T.J. Nevill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.J. Nevill

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