Kaeling Tan

1.4k total citations
29 papers, 790 citations indexed

About

Kaeling Tan is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Kaeling Tan has authored 29 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Cell Biology and 7 papers in Plant Science. Recurrent topics in Kaeling Tan's work include Fungal and yeast genetics research (12 papers), Antifungal resistance and susceptibility (6 papers) and Microtubule and mitosis dynamics (5 papers). Kaeling Tan is often cited by papers focused on Fungal and yeast genetics research (12 papers), Antifungal resistance and susceptibility (6 papers) and Microtubule and mitosis dynamics (5 papers). Kaeling Tan collaborates with scholars based in Macao, United States and China. Kaeling Tan's co-authors include Samara L. Reck‐Peterson, Martin J. Egan, Koon Ho Wong, Zhengqiang Miao, Leah E. Cowen, Lakhansing Pardeshi, Michelle D. Leach, Fang Wang, Ang Li and Joong Sup Shim and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Kaeling Tan

27 papers receiving 782 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaeling Tan Macao 17 563 214 145 134 126 29 790
Michiyo Okamoto Japan 15 405 0.7× 274 1.3× 83 0.6× 225 1.7× 216 1.7× 32 720
Lionel Tafforeau Belgium 18 1.0k 1.8× 110 0.5× 86 0.6× 128 1.0× 220 1.7× 27 1.4k
Sandy Vandoninck Belgium 15 395 0.7× 76 0.4× 258 1.8× 241 1.8× 162 1.3× 21 850
Tomohiro Akashi Japan 19 743 1.3× 303 1.4× 336 2.3× 82 0.6× 72 0.6× 37 1.0k
John R. Collette United States 13 298 0.5× 205 1.0× 67 0.5× 287 2.1× 243 1.9× 15 760
Serge Shahinian Canada 10 580 1.0× 205 1.0× 173 1.2× 69 0.5× 51 0.4× 13 728
Cunle Wu Canada 17 1.3k 2.3× 443 2.1× 232 1.6× 83 0.6× 70 0.6× 26 1.4k
Olivier Vincent Spain 22 1.3k 2.4× 553 2.6× 303 2.1× 121 0.9× 227 1.8× 46 1.8k
Arnold Kristjuhan Estonia 17 1.1k 2.0× 90 0.4× 209 1.4× 47 0.4× 97 0.8× 32 1.4k
Dimitris Tzamarias Greece 17 1.5k 2.7× 102 0.5× 280 1.9× 62 0.5× 55 0.4× 26 1.6k

Countries citing papers authored by Kaeling Tan

Since Specialization
Citations

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

Fields of papers citing papers by Kaeling Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaeling Tan

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

All Works

20 of 20 papers shown
1.
Guo, Shuhui, Lakhansing Pardeshi, Chris Cheung, et al.. (2025). Systematic over-expression of secondary metabolism transcription factors to reveal the pharmaceutical potential of Aspergillus nidulans. Communications Biology. 8(1). 1444–1444. 1 indexed citations
2.
Tao, Shishi, Eun Ju Yang, Guowen Ren, et al.. (2025). Microtubule dynamics is a therapeutic vulnerability in VHL-deficient renal cell carcinoma. International Journal of Biological Sciences. 21(7). 3286–3305.
3.
Colabardini, Ana Cristina, Fang Wang, Zhengqiang Miao, et al.. (2022). Chromatin profiling reveals heterogeneity in clinical isolates of the human pathogen Aspergillus fumigatus. PLoS Genetics. 18(1). e1010001–e1010001. 12 indexed citations
4.
Li, Ang, et al.. (2021). Co-option of an extracellular protease for transcriptional control of nutrient degradation in the fungus Aspergillus nidulans. Communications Biology. 4(1). 1409–1409. 11 indexed citations
5.
Assis, Leandro José de, Lilian Pereira Silva, Özgür Bayram, et al.. (2021). Carbon Catabolite Repression in Filamentous Fungi Is Regulated by Phosphorylation of the Transcription Factor CreA. mBio. 12(1). 53 indexed citations
6.
Wang, Fang, Pooja Sethiya, Xiaohui Hu, et al.. (2021). Transcription in fungal conidia before dormancy produces phenotypically variable conidia that maximize survival in different environments. Nature Microbiology. 6(8). 1066–1081. 50 indexed citations
7.
Zhou, Peng, Yuk Kei Wan, Gigi C.G. Choi, et al.. (2020). A Three-Way Combinatorial CRISPR Screen for Analyzing Interactions among Druggable Targets. Cell Reports. 32(6). 108020–108020. 28 indexed citations
8.
Lyu, Junfang, Eun Ju Yang, Baoyuan Zhang, et al.. (2020). Synthetic lethality of RB1 and aurora A is driven by stathmin-mediated disruption of microtubule dynamics. Nature Communications. 11(1). 5105–5105. 41 indexed citations
9.
10.
Li, Ang, Kaeling Tan, Shuhui Guo, et al.. (2019). Universal plasmids to facilitate gene deletion and gene tagging in filamentous fungi. Fungal Genetics and Biology. 125. 28–35. 8 indexed citations
11.
Zhang, Baoyuan, Junfang Lyu, Eun Ju Yang, et al.. (2019). Class I histone deacetylase inhibition is synthetic lethal with BRCA1 deficiency in breast cancer cells. Acta Pharmaceutica Sinica B. 10(4). 615–627. 25 indexed citations
12.
Veri, Amanda O., Zhengqiang Miao, Rebecca S. Shapiro, et al.. (2018). Tuning Hsf1 levels drives distinct fungal morphogenetic programs with depletion impairing Hsp90 function and overexpression expanding the target space. PLoS Genetics. 14(3). e1007270–e1007270. 38 indexed citations
13.
Zhang, Baoyuan, Junfang Lyu, Yifan Liu, et al.. (2018). BRCA1 deficiency sensitizes breast cancer cells to bromodomain and extra-terminal domain (BET) inhibition. Oncogene. 37(49). 6341–6356. 15 indexed citations
14.
Liu, Yifan, Eun Ju Yang, Baoyuan Zhang, et al.. (2018). PTEN deficiency confers colorectal cancer cell resistance to dual inhibitors of FLT3 and aurora kinase A. Cancer Letters. 436. 28–37. 12 indexed citations
15.
Xie, Jinglin Lucy, Zhengqiang Miao, Jonathan R. Krieger, et al.. (2017). The Candida albicans transcription factor Cas5 couples stress responses, drug resistance and cell cycle regulation. Nature Communications. 8(1). 499–499. 47 indexed citations
16.
Leach, Michelle D., Rhys A. Farrer, Kaeling Tan, et al.. (2016). Hsf1 and Hsp90 orchestrate temperature-dependent global transcriptional remodelling and chromatin architecture in Candida albicans. Nature Communications. 7(1). 11704–11704. 75 indexed citations
17.
Tan, Kaeling, et al.. (2014). A microscopy-based screen employing multiplex genome sequencing identifies cargo-specific requirements for dynein velocity. Molecular Biology of the Cell. 25(5). 669–678. 19 indexed citations
18.
Egan, Martin J., Kaeling Tan, & Samara L. Reck‐Peterson. (2012). Lis1 is an initiation factor for dynein-driven organelle transport. The Journal of Cell Biology. 197(7). 971–982. 137 indexed citations
19.
Zhang, Jun, Kaeling Tan, Xufeng Wu, et al.. (2011). Aspergillus Myosin-V Supports Polarized Growth in the Absence of Microtubule-Based Transport. PLoS ONE. 6(12). e28575–e28575. 30 indexed citations
20.
Pal, Bhupinder, et al.. (2006). SCF Cdc4 -mediated Degradation of the Hac1p Transcription Factor Regulates the Unfolded Protein Response in Saccharomyces cerevisiae. Molecular Biology of the Cell. 18(2). 426–440. 29 indexed citations

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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