T G Pretlow

12 total papers · 1.2k total citations
8 papers, 982 citations indexed

About

T G Pretlow is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, T G Pretlow has authored 8 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Cancer Research. Recurrent topics in T G Pretlow's work include Prostate Cancer Treatment and Research (2 papers), Kruppel-like factors research (2 papers) and Eosinophilic Disorders and Syndromes (1 paper). T G Pretlow is often cited by papers focused on Prostate Cancer Treatment and Research (2 papers), Kruppel-like factors research (2 papers) and Eosinophilic Disorders and Syndromes (1 paper). T G Pretlow collaborates with scholars based in United States. T G Pretlow's co-authors include Theresa P. Pretlow, Dan R. Robinson, Yun Qiu, Hsing‐Jien Kung, T A Stellato, Saeid B. Amini, M. Nagabhushan, Cheng Lu, Pamela Kimball and Emily A. Boohaker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute and PubMed.

In The Last Decade

T G Pretlow

8 papers receiving 950 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 G Pretlow 399 380 214 198 168 8 982
Rita Ficarelli 299 0.7× 429 1.1× 164 0.8× 178 0.9× 60 0.4× 15 882
M D Burdick 305 0.8× 359 0.9× 128 0.6× 97 0.5× 373 2.2× 8 1.2k
Teruaki Fujishita 581 1.5× 406 1.1× 103 0.5× 118 0.6× 232 1.4× 23 1.1k
Hongxing Ma 394 1.0× 211 0.6× 103 0.5× 85 0.4× 228 1.4× 15 991
Rika Hoshino 981 2.5× 362 1.0× 137 0.6× 171 0.9× 69 0.4× 7 1.2k
Akira Morimiya 628 1.6× 504 1.3× 159 0.7× 64 0.3× 97 0.6× 16 1.1k
Xiaoqian Qian 497 1.2× 187 0.5× 276 1.3× 56 0.3× 211 1.3× 12 896
Olga Ruiz‐Andrés 611 1.5× 104 0.3× 314 1.5× 81 0.4× 179 1.1× 15 1.2k
Yanchun Ma 612 1.5× 368 1.0× 159 0.7× 82 0.4× 139 0.8× 8 1.2k
Norma Llansa 535 1.3× 285 0.8× 90 0.4× 77 0.4× 266 1.6× 15 1.1k

Countries citing papers authored by T G Pretlow

Since Specialization
Citations

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

Fields of papers citing papers by T G Pretlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T G Pretlow

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