T. Reed

54 total papers · 4.6k total citations
43 papers, 1.9k citations indexed

About

T. Reed is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, T. Reed has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Surgery. Recurrent topics in T. Reed's work include Dermatoglyphics and Human Traits (14 papers), Medical and Biological Sciences (5 papers) and Blood Pressure and Hypertension Studies (5 papers). T. Reed is often cited by papers focused on Dermatoglyphics and Human Traits (14 papers), Medical and Biological Sciences (5 papers) and Blood Pressure and Hypertension Studies (5 papers). T. Reed collaborates with scholars based in United States, Netherlands and Argentina. T. Reed's co-authors include Dorit Carmelli, Gary E. Swan, Philip A. Wolf, Bruce L. Miller, Charles DeCarli, Lisa M. Jack, R. R. Fabsitz, Gail P. Jarvik, Joseph V. Selby and John C.S. Breitner and has published in prestigious journals such as Neurology, Stroke and American Journal of Epidemiology.

In The Last Decade

T. Reed

41 papers receiving 1.8k 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. Reed 614 402 394 383 275 43 1.9k
Frank Jan de Jong 603 1.0× 464 1.2× 90 0.2× 431 1.1× 248 0.9× 60 2.7k
Uolevi Tolonen 381 0.6× 802 2.0× 183 0.5× 555 1.4× 410 1.5× 77 2.8k
Chuanhui Dong 201 0.3× 326 0.8× 467 1.2× 167 0.4× 185 0.7× 56 2.0k
Karl F. Mortel 777 1.3× 459 1.1× 156 0.4× 377 1.0× 565 2.1× 61 2.7k
William Pryse‐Phillips 1.1k 1.7× 424 1.1× 183 0.5× 602 1.6× 342 1.2× 60 2.8k
M.‐X. Tang 988 1.6× 785 2.0× 261 0.7× 136 0.4× 105 0.4× 26 2.5k
C M Wiles 483 0.8× 607 1.5× 136 0.3× 262 0.7× 424 1.5× 56 3.2k
Joey Ward 518 0.8× 427 1.1× 476 1.2× 207 0.5× 63 0.2× 75 2.5k
Deborah Janowitz 449 0.7× 244 0.6× 162 0.4× 143 0.4× 106 0.4× 49 1.6k
Dana Mathews 393 0.6× 386 1.0× 113 0.3× 462 1.2× 210 0.8× 57 2.4k

Countries citing papers authored by T. Reed

Since Specialization
Citations

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

Fields of papers citing papers by T. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Reed

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