Glenn J. Markov

719 citations
11 papers · 493 indexed · h-index 9
Topics
Adipose Tissue and Metabolism (2 papers)Genomics and Rare Diseases (2 papers)Pluripotent Stem Cells Research (2 papers)
Partner nations
United StatesSwedenIndia

In The Last Decade

Glenn J. Markov

11 papers receiving 485 citations

Peers

Glenn J. Markov
Comparison fields: 5 of 84
  • Molecular Biology 359
  • Genetics 120
  • Physiology 51
  • Cell Biology 44
  • Biomaterials 41
Replace Juan Carlos Izpisua Belmonte with:
Juan Carlos Izpisua Belmonte United States
Andriy S. Yatsenko Germany
Michael Phelps United States
Ahmed Elewa United States
Yvette W. H. Koh United Kingdom
Anne Czechanski United States
Hervé Faralli Canada
Artur Jaroszewicz United States
Yuliang Wang United States
Alberto Rissone United States
Glenn J. Markov relative to Juan Carlos Izpisua Belmonte United States Juan Carlos Izpisua Belmonte's profile →
Citations per field
00.5×3.7×
Juan Carlos Izpisua Belmonte · 1×
Citations per year

Countries citing papers authored by Glenn J. Markov

Since Specialization
Citations

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

Fields of papers citing papers by Glenn J. Markov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glenn J. Markov

This figure shows the co-authorship network connecting the top 25 collaborators of Glenn J. Markov. A scholar is included among the top collaborators of Glenn J. Markov 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 Glenn J. Markov. Glenn J. Markov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 24
3 114
4 38
5 36
6 107
7 45
8 33
9 45
10 2
11 48

About Glenn J. Markov

Glenn J. Markov is a scholar working on Genetics, Molecular Biology and Physiology, having authored 11 papers that have together received 493 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (2 papers), Genomics and Rare Diseases (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Aging (29 citations), Molecular Biology (359 citations) and Genetics (120 citations). Glenn J. Markov has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Thach Mai, Helen M. Blau, Matthew J. Huentelman, Kenro Kusumi, Walter L. Eckalbar, Jason J. Corneveaux, April N. Allen, Yu Xin Wang, Sudhir Kumar and Nora Yucel. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Nature Cell Biology.

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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