Lin‐Yang Cheng

2.0k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Lin‐Yang Cheng is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Lin‐Yang Cheng has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Oncology. Recurrent topics in Lin‐Yang Cheng's work include Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Lin‐Yang Cheng is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Lin‐Yang Cheng collaborates with scholars based in United States, Switzerland and United Kingdom. Lin‐Yang Cheng's co-authors include Olga Vitek, Lukas Reiter, Oliver M. Bernhardt, Yulia Butscheid, Roland Bruderer, Claudia Escher, Saša M. Miladinović, Tejas Gandhi, Oliver Rinner and Simon Messner and has published in prestigious journals such as BMC Bioinformatics, Molecular & Cellular Proteomics and Molecular Systems Biology.

In The Last Decade

Lin‐Yang Cheng

6 papers receiving 1.2k 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.

Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues

2015 755 citations Roland Bruderer, Oliver M. Bernhardt et al. Molecular & Cellular Proteomics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lin‐Yang Cheng United States	5	800	578	86	77	64	7	1.2k
Meena Choi United States	14	815 1.0×	478 0.8×	106 1.2×	84 1.1×	57 0.9×	24	1.2k
Eugenia Voytik Germany	9	720 0.9×	579 1.0×	75 0.9×	61 0.8×	49 0.8×	10	1.1k
Oliver Raether Germany	6	882 1.1×	718 1.2×	58 0.7×	63 0.8×	58 0.9×	8	1.2k
Susan E. Abbatiello United States	16	883 1.1×	797 1.4×	72 0.8×	50 0.6×	47 0.7×	19	1.2k
Amol Prakash United States	18	781 1.0×	544 0.9×	84 1.0×	45 0.6×	42 0.7×	29	1.1k
Timothy Clough United States	7	639 0.8×	388 0.7×	71 0.8×	60 0.8×	39 0.6×	7	975
Stephanie Kaspar‐Schoenefeld Germany	5	621 0.8×	467 0.8×	59 0.7×	49 0.6×	49 0.8×	6	888
Marlène Marcellin France	15	591 0.7×	333 0.6×	94 1.1×	154 2.0×	56 0.9×	25	1.0k
Reto Ossola Switzerland	13	1.2k 1.5×	1000 1.7×	130 1.5×	80 1.0×	50 0.8×	15	1.6k
Tobias Ehrenberger United States	6	771 1.0×	376 0.7×	99 1.2×	55 0.7×	51 0.8×	8	1.0k

Countries citing papers authored by Lin‐Yang Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Lin‐Yang Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin‐Yang 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 Lin‐Yang Cheng. The network helps show where Lin‐Yang Cheng may publish in the future.

Co-authorship network of co-authors of Lin‐Yang Cheng

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

All Works

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7 of 7 papers shown

1.

Patel, Sandip Pravin, Teresa Alonso‐Gordoa, Susana Banerjee, et al.. (2024). Phase 1/2 study of monalizumab plus durvalumab in patients with advanced solid tumors. Journal for ImmunoTherapy of Cancer. 12(2). e007340–e007340. 25 indexed citations

2.

Hwang, Ji Won, Diansong Zhou, Carine Paturel, et al.. (2023). Population Pharmacokinetics of Monalizumab in Patients With Advanced Solid Tumors. The Journal of Clinical Pharmacology. 63(7). 817–829.

3.

Cheng, Lin‐Yang, Chun‐Lin Chen, Yueh‐Hsiung Kuo, et al.. (2018). Polyprenylated polycyclic acylphloroglucinol: Angiogenesis inhibitor from Garcinia multiflora. Bioorganic & Medicinal Chemistry Letters. 28(10). 1860–1863. 13 indexed citations

4.

Liu, Yansheng, Alfonso Buil, Ben C. Collins, et al.. (2015). Quantitative variability of 342 plasma proteins in a human twin population. Molecular Systems Biology. 11(2). 786–786. 236 indexed citations

5.

Selevsek, Nathalie, Ching-Yun Chang, Ludovic Gillet, et al.. (2015). Reproducible and Consistent Quantification of the Saccharomyces cerevisiae Proteome by SWATH-mass spectrometry *. Molecular & Cellular Proteomics. 14(3). 739–749. 139 indexed citations

6.

Bruderer, Roland, Oliver M. Bernhardt, Tejas Gandhi, et al.. (2015). Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues. Molecular & Cellular Proteomics. 14(5). 1400–1410. 755 indexed citations breakdown →

7.

Cheng, Lin‐Yang, Yansheng Liu, Ching-Yun Chang, et al.. (2015). Statistical elimination of spectral features with large between-run variation enhances quantitative protein-level conclusions in experiments with data-independent spectral acquisition. BMC Bioinformatics. 16(S2). 1 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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