Ya Su

1.5k total citations · 2 hit papers
7 papers, 1.1k citations indexed

About

Ya Su is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ya Su has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Ya Su's work include Cancer, Lipids, and Metabolism (2 papers), Inflammasome and immune disorders (2 papers) and RNA modifications and cancer (1 paper). Ya Su is often cited by papers focused on Cancer, Lipids, and Metabolism (2 papers), Inflammasome and immune disorders (2 papers) and RNA modifications and cancer (1 paper). Ya Su collaborates with scholars based in China and United States. Ya Su's co-authors include Feng Shao, Jingjin Ding, Da Li, Yupeng Wang, Yongliang Zhang, Xuyan Shi, Lin Shen, Huabin He, Weidong Han and Yao Wang and has published in prestigious journals such as Nature, Science and Cell Proliferation.

In The Last Decade

Ya Su

7 papers receiving 1.1k 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.

Granzyme A from cytotoxic lymphocytes cleaves GSDMB to trigger pyroptosis in target cells

2020 940 citations Huabin He, Xuyan Shi et al. Science profile →
Structural mechanisms for regulation of GSDMB pore-forming activity

2023 96 citations Xiu Zhong, Huan Zeng et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ya Su China	4	873	432	200	183	180	7	1.1k
Temy Mo Yin Mok Hong Kong	2	1.0k 1.2×	447 1.0×	268 1.3×	182 1.0×	189 1.1×	2	1.3k
Satyaki Sengupta United States	10	1.5k 1.7×	479 1.1×	309 1.5×	169 0.9×	298 1.7×	15	1.8k
Tara A. Sheldrake United Kingdom	13	376 0.4×	468 1.1×	121 0.6×	63 0.3×	143 0.8×	18	1.0k
Hongbo Yu United States	12	587 0.7×	717 1.7×	88 0.4×	88 0.5×	186 1.0×	17	1.2k
Nikolaos Svoronos United States	17	707 0.8×	784 1.8×	122 0.6×	45 0.2×	806 4.5×	21	1.6k
Rachael M. Lane Australia	10	744 0.9×	680 1.6×	67 0.3×	41 0.2×	145 0.8×	16	1.3k
Oliver Gorka Germany	13	472 0.5×	400 0.9×	63 0.3×	50 0.3×	81 0.5×	24	873
William E. Munger United States	14	485 0.6×	401 0.9×	141 0.7×	49 0.3×	218 1.2×	20	1.0k
Anne-lie Ståhl Sweden	7	469 0.5×	167 0.4×	58 0.3×	110 0.6×	36 0.2×	8	747
David Farley United States	12	383 0.4×	149 0.3×	48 0.2×	57 0.3×	128 0.7×	17	970

Countries citing papers authored by Ya Su

Since Specialization

Citations

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

Fields of papers citing papers by Ya Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Su

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Zhong, Xiu, Huan Zeng, Ya Su, et al.. (2023). Structural mechanisms for regulation of GSDMB pore-forming activity. Nature. 616(7957). 598–605. 96 indexed citations breakdown →

2.

Li, Xuejiao, Haiyan Fang, Dongwei Zhang, et al.. (2022). Long‐term survival analysis of patients with stage IIIB‐IV non‐small cell lung cancer complicated by type 2 diabetes mellitus: A retrospective propensity score matching analysis. Thoracic Cancer. 13(23). 3268–3273. 3 indexed citations

3.

Zhang, Dongwei, et al.. (2021). Taurochenodeoxycholic acid inhibits the proliferation and invasion of gastric cancer and induces its apoptosis. Journal of Food Biochemistry. 46(3). e13866–e13866. 8 indexed citations

4.

He, Huabin, Xuyan Shi, Yupeng Wang, et al.. (2020). Granzyme A from cytotoxic lymphocytes cleaves GSDMB to trigger pyroptosis in target cells. Science. 368(6494). 940 indexed citations breakdown →

5.

Cheng, Yaqi, Lin Jin, Ying Liu, et al.. (2020). Modifying the tumour microenvironment and reverting tumour cells: New strategies for treating malignant tumours. Cell Proliferation. 53(8). e12865–e12865. 65 indexed citations

6.

Su, Ya, et al.. (1988). G-banded chromosome analyses of mucosal epithelium adjacent to esophageal cancer (EC)--some consistent chromosomal changes.. PubMed. 31(6). 710–8. 1 indexed citations

7.

Su, Ya. (1988). [Evolution of human esophageal cancer cell in the process of cell line establishment].. PubMed. 10(6). 410–3. 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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