Thomas Long

585 citations
25 papers · 379 · h-index 10

Impact in

    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research
    • Chronic Kidney Disease and Diabetes

Papers in

Thomas Long

22 papers receiving 365 citations

Peers

Thomas Long
Comparison fields: 5 of 78
  • Oncology 100
  • Nephrology 17
  • Developmental Neuroscience 9
  • Cancer Research 28
  • Dermatology 13
Replace Sadashige Sakuma with:
Sadashige Sakuma Japan
Kelly E. Roney United States
Ursula M. Dietrich United States
Jared Andrews United States
Marylise Fernandez Switzerland
Amanda Fisher United States
Anna Sanecka-Duin United States
Maria Julia Diacovo United States
Chandra Somasundaram United States
Troy Auffenberg United States
Thomas Long relative to Sadashige Sakuma Japan Sadashige Sakuma's profile →
Citations per field
00.5×10×17×
Sadashige Sakuma · 1×
Citations per year

Countries citing papers authored by Thomas Long

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Long Line = papers co-authored together Thomas Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201793
2 200672
3 201545
4 200422
5 201720
6 201420
7 202019
8 202217
9 202216
10 201514
11 20176
12 20185
13 20215
14 20164
15 20204
16 20234
17 20214
18 20242
19 20212
20 20172

About Thomas Long

Thomas Long is a scholar working on Physiology, Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health and Oncology, having authored 25 papers that have together received 379 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (3 papers), Prenatal Screening and Diagnostics (3 papers), Molecular Biology Techniques and Applications (2 papers), Folate and B Vitamins Research (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Autopsy Techniques and Outcomes (1 paper), Forensic and Genetic Research (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Oncology (100 citations), Nephrology (17 citations), Developmental Neuroscience (9 citations), Cancer Research (28 citations) and Dermatology (13 citations). Thomas Long has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Maria Tretiakova, Cigdem Ussakli, Allen M. Gown, Masha Kocherginsky, Regan Fulton, Tatjana Antic, Benjamin M. Moran, Haroun N. Shah, Megan L. Troxell and Stephen Moore. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Genetics in Medicine, Modern Pathology, Prenatal Diagnosis and Journal of Cutaneous Pathology.

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.

Explore authors with similar magnitude of impact