Thomas C. Markello

7.3k citations
68 papers · 2.5k · h-index 28

Impact in

Papers in

    • RNA modifications and cancer 9
    • RNA Research and Splicing 4
    • Genomics and Rare Diseases 12
    • Genomic variations and chromosomal abnormalities 10
    • Genetics and Neurodevelopmental Disorders 6

Thomas C. Markello

66 papers receiving 2.4k citations

Peers

Thomas C. Markello
Comparison fields: 5 of 100
  • Biochemistry 339
  • Pathology and Forensic Medicine 476
  • Genetics 695
  • Pediatrics, Perinatology and Child Health 428
  • Ophthalmology 146
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Citations per year

Countries citing papers authored by Thomas C. Markello

Since Specialization
Citations

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

Fields of papers citing papers by Thomas C. Markello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas C. Markello, 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 C. Markello Line = papers co-authored together Thomas C. Markello links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993200
2 2014197
3 1996158
4 1994121
5 2014103
6 2011103
7 2012100
8 201188
9 199581
10 199678
11
The metabolism of fatty acids in human Bietti crystalline dystrophy.
200175
12 201561
13 201160
14 199057
15 200956
16 201152
17 199250
18 201449
19 201144
20 201641

About Thomas C. Markello

Thomas C. Markello is a scholar working on Molecular Biology, Genetics, Cell Biology, Physiology and Pediatrics, Perinatology and Child Health, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (12 papers), Genomic variations and chromosomal abnormalities (10 papers), RNA modifications and cancer (9 papers), Biomedical Research and Pathophysiology (7 papers), Neonatal Health and Biochemistry (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Genetics and Neurodevelopmental Disorders (6 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Biochemistry (339 citations), Pathology and Forensic Medicine (476 citations), Genetics (695 citations), Pediatrics, Perinatology and Child Health (428 citations) and Ophthalmology (146 citations). Thomas C. Markello has collaborated with scholars based in United States, Pakistan and Hungary. Frequent co-authors include William A. Gahl, Isa Bernardini, David R. Adams, Cornelius F. Boerkoel, Cynthia J. Tifft, Camilo Toro, Gretchen Golas, Tyler Mark Pierson, W. A. Gahl and Nancy L. Fisher. Their work appears in journals such as Molecular Genetics and Metabolism, Blood, Human Mutation, European Journal of Human Genetics and Genetics in Medicine.

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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