Mark Yandell

49.5k citations
114 papers · 9.8k indexed · 4 hit papers · h-index 44

Impact in

  • Aging top 0.5%
  • Genetics top 0.5%
    • Genetic diversity and population structure
    • Genomics and Rare Diseases

Papers in

    • Genomics and Rare Diseases 13
    • Genomic variations and chromosomal abnormalities 7

Mark Yandell

113 papers receiving 9.7k citations

Hit Papers

Genome Annotation and Curation Using MAKER and MAKER‐P 2014 · 451 citations
45120052026201220194008001.2k

Peers

Mark Yandell
Comparison fields: 5 of 175
  • Aging 346
  • Genetics 2.6k
  • Molecular Biology 6.2k
  • Plant Science 2.8k
  • Horticulture 45
Replace Ian Korf with:
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Mark Yandell relative to Ian Korf United States Ian Korf's profile →
Citations per field
00.5×1.7×
Ian Korf · 1×
Citations per year

Countries citing papers authored by Mark Yandell

Since Specialization
Citations

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

Fields of papers citing papers by Mark Yandell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20249
3 202222
4 202117
5 202111
6 20215
7 20212
8 20215
9 202016
10 201949
11 201846
12 201821
13 20185
14 201744
15 201724
16 201642
17 201626
18 2015102
19 2015129
20 201424

About Mark Yandell

Mark Yandell is a scholar working on Genetics, Aging, Molecular Biology, Health Information Management and Epidemiology, having authored 114 papers that have together received 9.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), RNA and protein synthesis mechanisms (14 papers), Nicotinic Acetylcholine Receptors Study (14 papers), Genomics and Rare Diseases (13 papers), Chromosomal and Genetic Variations (10 papers), Ion channel regulation and function (8 papers), RNA Research and Splicing (8 papers) and Genomic variations and chromosomal abnormalities (7 papers). The work is most often cited by research in Aging (346 citations), Genetics (2.6k citations), Molecular Biology (6.2k citations), Plant Science (2.8k citations) and Horticulture (45 citations). Mark Yandell has collaborated with scholars based in United States, Poland and Denmark. Frequent co-authors include Carson Holt, Barry Moore, Daniel Ence, Ian Korf, Karen Eilbeck, Michael S. Campbell, Genı́s Parra, Sofia Robb, Eric Ross and Alejandro Sánchez Alvarado. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Biology and Evolution, The Journal of Clinical Endocrinology & Metabolism, BMC Genomics and PLoS Genetics.

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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