Yim Ling Cheng

1.0k total citations · 1 hit paper
8 papers, 452 citations indexed

About

Yim Ling Cheng is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Yim Ling Cheng has authored 8 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Cancer Research. Recurrent topics in Yim Ling Cheng's work include Single-cell and spatial transcriptomics (3 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Genomics and Diagnostics (2 papers). Yim Ling Cheng is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Genomics and Diagnostics (2 papers). Yim Ling Cheng collaborates with scholars based in United States, Australia and United Kingdom. Yim Ling Cheng's co-authors include Hanna Mendes Levitin, Jinzhou Yuan, Peter A. Sims, Erin Bush, Michelle Miron, Mark E. Snyder, Donna L. Färber, Puspa Thapa, Pranay Dogra and Takashi Senda and has published in prestigious journals such as Nature Communications, PLoS ONE and Genetics.

In The Last Decade

Yim Ling Cheng

8 papers receiving 450 citations

Hit Papers

Single-cell transcriptomics of human T cells reveals tiss... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yim Ling Cheng United States 6 239 218 122 36 31 8 452
Vibeke Sundvold‐Gjerstad Norway 13 247 1.0× 272 1.2× 117 1.0× 47 1.3× 27 0.9× 22 506
Akie Maehara Japan 11 278 1.2× 164 0.8× 70 0.6× 33 0.9× 9 0.3× 18 492
Patrick Fernandes Rodrigues United States 13 362 1.5× 448 2.1× 172 1.4× 34 0.9× 59 1.9× 19 792
Nourdine Bah United Kingdom 11 146 0.6× 281 1.3× 185 1.5× 88 2.4× 43 1.4× 12 503
Paulina M. Strzelecka Germany 9 170 0.7× 301 1.4× 41 0.3× 81 2.3× 17 0.5× 14 511
Maria‐Cristina Seminario United States 11 300 1.3× 218 1.0× 70 0.6× 16 0.4× 8 0.3× 13 491
Barak Reicher Israel 11 223 0.9× 155 0.7× 95 0.8× 15 0.4× 24 0.8× 14 436
Mercedes Rey Spain 10 227 0.9× 261 1.2× 192 1.6× 34 0.9× 18 0.6× 12 610
Linhua Tian United States 9 223 0.9× 224 1.0× 72 0.6× 27 0.8× 17 0.5× 26 490
Aizhang Xu China 12 157 0.7× 142 0.7× 102 0.8× 48 1.3× 27 0.9× 19 389

Countries citing papers authored by Yim Ling Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yim Ling Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yim Ling Cheng. 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 Yim Ling Cheng. The network helps show where Yim Ling Cheng may publish in the future.

Co-authorship network of co-authors of Yim Ling Cheng

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

All Works

8 of 8 papers shown
1.
Cheng, Yim Ling, et al.. (2024). Multiplexed single-cell lineage tracing of mitotic kinesin inhibitor resistance in glioblastoma. Cell Reports. 43(5). 114139–114139. 3 indexed citations
2.
Cheng, Yim Ling, et al.. (2021). Isoform-specific roles of the Drosophila filamin-type protein Jitterbug (Jbug) during development. Genetics. 219(2). 3 indexed citations
3.
Levitin, Hanna Mendes, Jinzhou Yuan, Yim Ling Cheng, et al.. (2019). De novo gene signature identification from single‐cell RNA ‐seq with hierarchical Poisson factorization. Molecular Systems Biology. 15(2). e8557–e8557. 43 indexed citations
4.
Szabo, Peter A., Hanna Mendes Levitin, Michelle Miron, et al.. (2019). Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease. Nature Communications. 10(1). 4706–4706. 346 indexed citations breakdown →
5.
Cheng, Yim Ling & Deborah J. Andrew. (2015). Extracellular Mipp1 Activity Confers Migratory Advantage to Epithelial Cells during Collective Migration. Cell Reports. 13(10). 2174–2188. 7 indexed citations
6.
Abrams, Elliott W., Yim Ling Cheng, & Deborah J. Andrew. (2013). Drosophila KDEL Receptor Function in the Embryonic Salivary Gland and Epidermis. PLoS ONE. 8(10). e77618–e77618. 9 indexed citations
7.
Zhang, Feiran, Shridhar Bhat, Sandra B. Gabelli, et al.. (2013). Pyridinylquinazolines Selectively Inhibit Human Methionine Aminopeptidase-1 in Cells. Journal of Medicinal Chemistry. 56(10). 3996–4016. 13 indexed citations
8.
Cheng, Yim Ling, et al.. (2009). Total Synthesis of Spiruchostatin A via Chemoselective Macrocyclization using an Accessible Enantiomerically Pure Latent Thioester. Organic Letters. 11(9). 1971–1974. 28 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026