Tyler J. Titcomb

52 total papers · 725 total citations
36 papers, 489 citations indexed

About

Tyler J. Titcomb is a scholar working on Pathology and Forensic Medicine, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Tyler J. Titcomb has authored 36 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pathology and Forensic Medicine, 7 papers in Psychiatry and Mental health and 6 papers in Neurology. Recurrent topics in Tyler J. Titcomb's work include Multiple Sclerosis Research Studies (18 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers) and Diet and metabolism studies (4 papers). Tyler J. Titcomb is often cited by papers focused on Multiple Sclerosis Research Studies (18 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers) and Diet and metabolism studies (4 papers). Tyler J. Titcomb collaborates with scholars based in United States, China and Saudi Arabia. Tyler J. Titcomb's co-authors include Sherry A. Tanumihardjo, Linda Snetselaar, Terry L. Wahls, Linda M. Rubenstein, Babita Bisht, Natalia Palacios‐Rojas, Nilupa S. Gunaratna, Santiago López‐Ridaura, Wei Bao and John Kamholz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Tyler J. Titcomb

32 papers receiving 484 citations

Author Peers

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

Author Last Decade Papers Cites
Tyler J. Titcomb 141 107 91 87 80 36 489
Jane K. Pittaway 120 0.9× 117 1.1× 48 0.5× 121 1.4× 64 0.8× 13 486
Serap Yıldırım 91 0.6× 49 0.5× 97 1.1× 52 0.6× 28 0.3× 27 475
Florina Buleu 50 0.4× 50 0.5× 71 0.8× 57 0.7× 67 0.8× 30 472
Marcelo Villagrán 84 0.6× 31 0.3× 117 1.3× 161 1.9× 50 0.6× 57 499
Wei Xu 104 0.7× 61 0.6× 152 1.7× 29 0.3× 101 1.3× 50 543
Rahele Ziaei 73 0.5× 53 0.5× 127 1.4× 124 1.4× 101 1.3× 31 526
Maurizio Naso 40 0.3× 61 0.6× 113 1.2× 65 0.7× 172 2.1× 28 515
Kazem Barzegar 109 0.8× 63 0.6× 60 0.7× 40 0.5× 34 0.4× 33 426
Gilberto Simeone Henriques 46 0.3× 77 0.7× 50 0.5× 219 2.5× 65 0.8× 52 519
Sisi Chen 42 0.3× 91 0.9× 117 1.3× 37 0.4× 82 1.0× 45 539

Countries citing papers authored by Tyler J. Titcomb

Since Specialization
Citations

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

Fields of papers citing papers by Tyler J. Titcomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler J. Titcomb

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