Tina W. Han

3.4k citations
11 papers · 2.5k indexed · 2 hit papers · h-index 10
Topics
Ion channel regulation and function (5 papers)Erythrocyte Function and Pathophysiology (4 papers)RNA Research and Splicing (3 papers)

In The Last Decade

Tina W. Han

10 papers receiving 2.5k citations

Hit Papers

Cell-free Formation of RNA Granules: Low Complexity Seque...20122026201620212012201250010001.5k

Peers

Tina W. Han
Comparison fields: 5 of 101
  • Molecular Biology 2.3k
  • Neurology 314
  • Cell Biology 206
  • Genetics 188
  • Physiology 173
Replace David S.W. Protter with:
David S.W. Protter United States
Catherine Manser United Kingdom
Amandine Molliex United States
Tomomi Shimogori Japan
Gianluca Cestra Italy
Julie Qiaojin Lin United Kingdom
Gregor Rot Slovenia
Edward Gomes United States
Peggy S. Eis United States
Cristiana Mollinari Italy
Tina W. Han relative to David S.W. Protter United States David S.W. Protter's profile →
Citations per field
00.5×1.5×2.3×
David S.W. Protter · 1×
Citations per year

Countries citing papers authored by Tina W. Han

Since Specialization
Citations

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

Fields of papers citing papers by Tina W. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tina W. Han. 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 Tina W. Han. The network helps show where Tina W. Han may publish in the future.

Co-authorship network of co-authors of Tina W. Han

This figure shows the co-authorship network connecting the top 25 collaborators of Tina W. Han. A scholar is included among the top collaborators of Tina W. Han 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 Tina W. Han. Tina W. Han 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 12
2 20
3 11
4 83
5 34
6 25
7 0
8 56
9
Cell-free Formation of RNA Granules: Bound RNAs Identify Features and Components of Cellular Assembliesbreakdown →
639
10
Cell-free Formation of RNA Granules: Low Complexity Sequence Domains Form Dynamic Fibers within Hydrogelsbreakdown →
1525
11 115

About Tina W. Han

Tina W. Han is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 11 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Neurology (314 citations) and Genetics (188 citations). Tina W. Han has collaborated with scholars based in United States, Cameroon and China. Frequent co-authors include Steven L. McKnight, Leeju C. Wu, Masato Kato, Shanhai Xie, Hamid Mirzaei, Jimin Pei, M.R. Sawaya, Lin Li, Jay W. Schneider and Kevin Shi. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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