Kran Suknuntha

49 total papers · 1.7k total citations
31 papers, 627 citations indexed

About

Kran Suknuntha is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Kran Suknuntha has authored 31 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Hematology and 4 papers in Oncology. Recurrent topics in Kran Suknuntha's work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Kran Suknuntha is often cited by papers focused on Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Kran Suknuntha collaborates with scholars based in United States, Thailand and Japan. Kran Suknuntha's co-authors include Igor I. Slukvin, Ron Stewart, James A. Thomson, Shulan Tian, Kejin Hu, Akhilesh Kumar, Junying Yu, Karen Dyer Montgomery, Padma Priya Togarrati and Maxim A. Vodyanik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Kran Suknuntha

29 papers receiving 620 citations

Author Peers

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

Author Last Decade Papers Cites
Kran Suknuntha 461 155 100 86 73 31 627
Alan B. Moy 467 1.0× 159 1.0× 181 1.8× 111 1.3× 64 0.9× 27 777
Yoshihiro Yoshikawa 403 0.9× 56 0.4× 78 0.8× 70 0.8× 59 0.8× 26 670
Briony L. Gliddon 399 0.9× 258 1.7× 267 2.7× 89 1.0× 45 0.6× 23 762
Qiang Feng 376 0.8× 84 0.5× 48 0.5× 71 0.8× 85 1.2× 30 756
Diana L. Ramírez‐Bergeron 447 1.0× 75 0.5× 57 0.6× 77 0.9× 30 0.4× 19 665
Kostandin V. Pajcini 491 1.1× 127 0.8× 44 0.4× 96 1.1× 102 1.4× 22 763
Heather D. Huntsman 294 0.6× 95 0.6× 106 1.1× 43 0.5× 102 1.4× 22 564
Gaynor Miller 380 0.8× 86 0.6× 53 0.5× 54 0.6× 142 1.9× 20 698
Manu Beerens 341 0.7× 90 0.6× 104 1.0× 74 0.9× 23 0.3× 34 640
David Dadey 357 0.8× 168 1.1× 42 0.4× 53 0.6× 34 0.5× 21 659

Countries citing papers authored by Kran Suknuntha

Since Specialization
Citations

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

Fields of papers citing papers by Kran Suknuntha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kran Suknuntha

This figure shows the co-authorship network connecting the top 25 collaborators of Kran Suknuntha. A scholar is included among the top collaborators of Kran Suknuntha 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 Kran Suknuntha. Kran Suknuntha 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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