Steven T. Lott

48 total papers · 420 total citations
13 papers, 304 citations indexed

About

Steven T. Lott is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Steven T. Lott has authored 13 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Steven T. Lott's work include Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (3 papers) and Renal and related cancers (3 papers). Steven T. Lott is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (3 papers) and Renal and related cancers (3 papers). Steven T. Lott collaborates with scholars based in United States. Steven T. Lott's co-authors include Ann M. Killary, Marsha L. Frazier, Adel K. El‐Naggar, Susan L. Naylor, Nanyue Chen, Jinyun Chen, Subrata Sen, Seetharaman Balasenthil, Sunil Chada and Abner M. Mhashilkar and has published in prestigious journals such as Annals of Surgery, Biochemical and Biophysical Research Communications and Cancer Discovery.

In The Last Decade

Steven T. Lott

11 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
Steven T. Lott	200	106	77	45	31	13	304
Mitchell I. Parker	140 0.7×	61 0.6×	55 0.7×	35 0.8×	27 0.9×	15	289
Manjusha Thakar	204 1.0×	99 0.9×	80 1.0×	63 1.4×	17 0.5×	10	346
Sheng-Hong Tseng	194 1.0×	82 0.8×	51 0.7×	46 1.0×	16 0.5×	12	363
Nicole A. Traphagen	201 1.0×	117 1.1×	96 1.2×	81 1.8×	41 1.3×	15	352
N Wong	178 0.9×	104 1.0×	83 1.1×	52 1.2×	38 1.2×	12	335
Susanne Lingelbach	168 0.8×	140 1.3×	57 0.7×	29 0.6×	43 1.4×	13	346
Amy Haseley Thorne	157 0.8×	78 0.7×	66 0.9×	30 0.7×	41 1.3×	12	316
Wen-Cheng Chung	217 1.1×	97 0.9×	64 0.8×	56 1.2×	20 0.6×	13	348
Takeo Terasaki	255 1.3×	161 1.5×	39 0.5×	35 0.8×	30 1.0×	19	362
Kalle Ojala	236 1.2×	85 0.8×	76 1.0×	38 0.8×	27 0.9×	12	334

Countries citing papers authored by Steven T. Lott

Since Specialization

Citations

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

Fields of papers citing papers by Steven T. Lott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven T. Lott

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