Change Tan

1.3k citations
15 papers · 1.0k indexed · h-index 13

Impact in

  • Aging top 10%
    • Developmental Biology and Gene Regulation
    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Congenital heart defects research
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing

Papers in

    • Cellular Mechanics and Interactions 3
    • Microtubule and mitosis dynamics 2

Change Tan

15 papers receiving 990 citations

Peers

Change Tan
Comparison fields: 5 of 88
  • Aging 24
  • Molecular Biology 869
  • Cell Biology 205
  • Cellular and Molecular Neuroscience 119
  • Genetics 182
Replace Ana Fernández‐Miñán with:
Ana Fernández‐Miñán Spain
Ingrid Lohmann Germany
Catherine Hogan United Kingdom
Esther Siegfried United States
Laura A. Ekas United States
Christine Vola France
Bruno Glise France
Jacques Pradel France
Jianwu Bai United States
Douglas Geissert United States
Change Tan relative to Ana Fernández‐Miñán Spain Ana Fernández‐Miñán's profile →
Citations per field
00.5×1.6×
Ana Fernández‐Miñán · 1×
Citations per year

Countries citing papers authored by Change Tan

Since Specialization
Citations

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

Fields of papers citing papers by Change Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Change Tan, 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 Change Tan Line = papers co-authored together Change Tan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2002186
2 2004134
3 1998132
4 2001127
5 200175
6 200374
7 200158
8 200954
9 200354
10 200932
11 200629
12 201024
13 201323
14 20103
15 19941

About Change Tan

Change Tan is a scholar working on Aging, Cell Biology, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (7 papers), Developmental Biology and Gene Regulation (7 papers), Cancer-related gene regulation (3 papers), Cellular Mechanics and Interactions (3 papers), RNA and protein synthesis mechanisms (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Plant Reproductive Biology (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Aging (24 citations), Molecular Biology (869 citations), Cell Biology (205 citations), Cellular and Molecular Neuroscience (119 citations) and Genetics (182 citations). Change Tan has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Peter S. Klein, Matthew A. Deardorff, Jing Yang, Jean‐Pierre Saint‐Jeannet, Norbert Perrimon, Rachel S. Darken, Paul A. Wilson, Urte Gayko, Yohanns Bellaı̈che and Jinling Wu. Their work appears in journals such as Development, Developmental Biology, Frontiers in Bioscience-Elite, Journal of Biological Chemistry and 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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