Yuliana Tan

1.6k total citations · 1 hit paper
5 papers, 971 citations indexed

About

Yuliana Tan is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Yuliana Tan has authored 5 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Yuliana Tan's work include Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). Yuliana Tan is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). Yuliana Tan collaborates with scholars based in United States, Singapore and India. Yuliana Tan's co-authors include Paul Robson, Elise T. Courtois, Iain Beehuat Tan, Debarka Sengupta, Paul Choi, Lawrence JK Wee, Huipeng Li, Jolene Jie Lin Goh, Wah Siew Tan and Say Li Kong and has published in prestigious journals such as Nature Genetics, Nature Cell Biology and Nature Methods.

In The Last Decade

Yuliana Tan

4 papers receiving 963 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

2017 722 citations Huipeng Li, Elise T. Courtois et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuliana Tan United States	4	635	377	342	238	78	5	971
Anna S. Nam United States	10	274 0.4×	112 0.3×	165 0.5×	141 0.6×	111 1.4×	17	565
Luan Nguyen Netherlands	9	432 0.7×	501 1.3×	386 1.1×	49 0.2×	86 1.1×	14	913
Bingjian Lü China	15	724 1.1×	149 0.4×	408 1.2×	62 0.3×	59 0.8×	29	921
Ecaterina E. Dumbrava United States	17	379 0.6×	647 1.7×	194 0.6×	185 0.8×	30 0.4×	115	1.0k
Dzifa Y. Duose United States	16	261 0.4×	170 0.5×	239 0.7×	29 0.1×	53 0.7×	45	698
Philipp Jurmeister Germany	17	268 0.4×	291 0.8×	204 0.6×	68 0.3×	24 0.3×	45	781
Aatish Thennavan United States	8	327 0.5×	313 0.8×	200 0.6×	267 1.1×	18 0.2×	21	691
Cynthia Aparecida Bueno de Toledo Osório Brazil	18	204 0.3×	260 0.7×	311 0.9×	41 0.2×	38 0.5×	49	786
Dijana Djureinovic Sweden	13	338 0.5×	417 1.1×	170 0.5×	276 1.2×	70 0.9×	24	874
Hélène Bonsang‐Kitzis France	16	169 0.3×	326 0.9×	267 0.8×	61 0.3×	106 1.4×	39	766

Countries citing papers authored by Yuliana Tan

Since Specialization

Citations

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

Fields of papers citing papers by Yuliana Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuliana Tan

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

All Works

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5 of 5 papers shown

1.

Tan, Yuliana, William F. Flynn, Lili Sun, et al.. (2025). HAND1, partially mediated through ape-specific LTR binding, is essential for human extra-embryonic mesenchyme derivation from iPSCs. Cell Reports. 44(4). 115568–115568.

2.

Tan, Yuliana, William F. Flynn, Santhosh Sivajothi, et al.. (2022). Single-cell analysis of endometriosis reveals a coordinated transcriptional programme driving immunotolerance and angiogenesis across eutopic and ectopic tissues. Nature Cell Biology. 24(8). 1306–1318. 93 indexed citations

3.

Hong, Bo‐Young, Takayasu Ideta, Yuliana Tan, et al.. (2019). Characterization of Mucosal Dysbiosis of Early Colonic Neoplasia. npj Precision Oncology. 3(1). 29–29. 24 indexed citations

4.

Li, Huipeng, Elise T. Courtois, Debarka Sengupta, et al.. (2017). Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors. Nature Genetics. 49(5). 708–718. 722 indexed citations breakdown →

5.

Cheow, Lih Feng, Elise T. Courtois, Yuliana Tan, et al.. (2016). Single-cell multimodal profiling reveals cellular epigenetic heterogeneity. Nature Methods. 13(10). 833–836. 132 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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