Xingdi Ma

1.5k total citations · 1 hit paper
7 papers, 564 citations indexed

About

Xingdi Ma is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Xingdi Ma has authored 7 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Xingdi Ma's work include Cancer, Hypoxia, and Metabolism (2 papers), Ubiquitin and proteasome pathways (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Xingdi Ma is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Ubiquitin and proteasome pathways (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Xingdi Ma collaborates with scholars based in United States and China. Xingdi Ma's co-authors include Ronald A. DePinho, Jiexi Li, Deepavali Chakravarti, Shabnam Shalapour, Pingping Hou, Chang‐Jiun Wu, Denise J. Spring, Jun Li, Yanru Wang and Shan Jiang and has published in prestigious journals such as Nature Communications, Genes & Development and Oncogene.

In The Last Decade

Xingdi Ma

6 papers receiving 556 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.

Genetic and biological hallmarks of colorectal cancer

2021 321 citations Jiexi Li, Xingdi Ma et al. Genes & Development profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xingdi Ma United States	6	350	235	165	92	71	7	564
Yunting Jian China	15	409 1.2×	202 0.9×	122 0.7×	89 1.0×	92 1.3×	22	586
Shengjun Xiao China	16	391 1.1×	155 0.7×	165 1.0×	87 0.9×	82 1.2×	41	631
Xuening Ji China	9	347 1.0×	199 0.8×	209 1.3×	59 0.6×	64 0.9×	16	618
Grace L. Wong United States	9	341 1.0×	229 1.0×	150 0.9×	77 0.8×	82 1.2×	13	578
Ching-Yuan Wu Taiwan	11	423 1.2×	191 0.8×	136 0.8×	66 0.7×	68 1.0×	13	598
Sara G. Manore United States	9	313 0.9×	256 1.1×	126 0.8×	82 0.9×	77 1.1×	13	579
Anais Del Curatolo Malaysia	6	404 1.2×	155 0.7×	158 1.0×	83 0.9×	38 0.5×	7	546
Vaidotas Stankevičius Lithuania	13	400 1.1×	196 0.8×	249 1.5×	104 1.1×	34 0.5×	22	632
Dinoop Ravindran Menon United States	11	431 1.2×	239 1.0×	131 0.8×	60 0.7×	117 1.6×	19	631
Denis Alférez United Kingdom	12	340 1.0×	300 1.3×	127 0.8×	86 0.9×	53 0.7×	17	551

Countries citing papers authored by Xingdi Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xingdi Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingdi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xingdi Ma. A scholar is included among the top collaborators of Xingdi Ma 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 Xingdi Ma. Xingdi Ma 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.

Lin, Chenchu, et al.. (2025). Functional modules predict cancer-relevant genetic interactions in mammalian cells. bioRxiv (Cold Spring Harbor Laboratory).

2.

Lin, Chenchu, Xingdi Ma, Lori Wilson, et al.. (2024). Efficient gene knockout and genetic interaction screening using the in4mer CRISPR/Cas12a multiplex knockout platform. Nature Communications. 15(1). 3577–3577. 26 indexed citations

3.

Zhu, Ming, Ruiqing Peng, Xin Liang, et al.. (2021). P4HA2-induced prolyl hydroxylation suppresses YAP1-mediated prostate cancer cell migration, invasion, and metastasis. Oncogene. 40(41). 6049–6056. 28 indexed citations

4.

Hou, Pingping, Xingdi Ma, Qiang Zhang, et al.. (2021). USP21 deubiquitinase elevates macropinocytosis to enable oncogenic KRAS bypass in pancreatic cancer. Genes & Development. 35(19-20). 1327–1332. 21 indexed citations

5.

Li, Jiexi, Xingdi Ma, Deepavali Chakravarti, Shabnam Shalapour, & Ronald A. DePinho. (2021). Genetic and biological hallmarks of colorectal cancer. Genes & Development. 35(11-12). 787–820. 321 indexed citations breakdown →

6.

Hou, Pingping, Avnish Kapoor, Qiang Zhang, et al.. (2020). Tumor Microenvironment Remodeling Enables Bypass of Oncogenic KRAS Dependency in Pancreatic Cancer. Cancer Discovery. 10(7). 1058–1077. 99 indexed citations

7.

Hou, Pingping, Xingdi Ma, Qiang Zhang, et al.. (2019). USP21 deubiquitinase promotes pancreas cancer cell stemness via Wnt pathway activation. Genes & Development. 33(19-20). 1361–1366. 69 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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