Zhiting Wei

521 total citations
10 papers, 325 citations indexed

About

Zhiting Wei is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Zhiting Wei has authored 10 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Oncology. Recurrent topics in Zhiting Wei's work include vaccines and immunoinformatics approaches (4 papers), Immunotherapy and Immune Responses (3 papers) and Single-cell and spatial transcriptomics (2 papers). Zhiting Wei is often cited by papers focused on vaccines and immunoinformatics approaches (4 papers), Immunotherapy and Immune Responses (3 papers) and Single-cell and spatial transcriptomics (2 papers). Zhiting Wei collaborates with scholars based in China. Zhiting Wei's co-authors include Qi Liu, Chi Zhou, Guohui Chuai, Biyu Zhang, Qinchang Chen, He Zhang, Chengyu Zhu, Yuli Gao, Chenyu Zhu and Chao Zhang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Briefings in Bioinformatics.

In The Last Decade

Zhiting Wei

10 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhiting Wei China	8	262	158	101	84	33	10	325
Wenyi Zhao China	8	232 0.9×	188 1.2×	117 1.2×	100 1.2×	32 1.0×	21	332
Chie Oshita Japan	7	185 0.7×	192 1.2×	217 2.1×	24 0.3×	23 0.7×	10	372
Emmi Jokinen Finland	7	135 0.5×	134 0.8×	99 1.0×	37 0.4×	10 0.3×	15	231
Michael Shnaidman United States	9	153 0.6×	87 0.6×	102 1.0×	55 0.7×	29 0.9×	13	314
Florian Huber Switzerland	10	276 1.1×	261 1.7×	193 1.9×	86 1.0×	28 0.8×	15	429
Xiaoshan M. Shao United States	6	139 0.5×	125 0.8×	62 0.6×	73 0.9×	21 0.6×	10	200
Aaron Graubert United States	3	131 0.5×	120 0.8×	82 0.8×	53 0.6×	34 1.0×	4	212
Katalin Csermak Switzerland	5	157 0.6×	65 0.4×	57 0.6×	25 0.3×	16 0.5×	6	324
Ricarda M. Hoffmann United Kingdom	5	108 0.4×	47 0.3×	176 1.7×	115 1.4×	13 0.4×	6	257
Theo Bijma Netherlands	8	401 1.5×	70 0.4×	46 0.5×	35 0.4×	14 0.4×	13	486

Countries citing papers authored by Zhiting Wei

Since Specialization

Citations

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

Fields of papers citing papers by Zhiting Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiting Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiting Wei. A scholar is included among the top collaborators of Zhiting Wei 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 Zhiting Wei. Zhiting Wei 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:

10 of 10 papers shown

1.

Wei, Zhiting, et al.. (2024). PerturBase: a comprehensive database for single-cell perturbation data analysis and visualization. Nucleic Acids Research. 53(D1). D1099–D1111. 7 indexed citations

2.

Wei, Zhiting, et al.. (2024). Toward subtask-decomposition-based learning and benchmarking for predicting genetic perturbation outcomes and beyond. Nature Computational Science. 4(10). 773–785. 4 indexed citations

3.

Gao, Yuli, Chengyu Zhu, Zhiting Wei, et al.. (2023). Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition. Nature Machine Intelligence. 5(3). 236–249. 83 indexed citations

4.

Wei, Zhiting, et al.. (2022). DrSim: Similarity Learning for Transcriptional Phenotypic Drug Discovery. Genomics Proteomics & Bioinformatics. 20(5). 1028–1036. 5 indexed citations

5.

Zhang, Biyu, Chen Tang, Yanli Yao, et al.. (2021). The tumor therapy landscape of synthetic lethality. Nature Communications. 12(1). 1275–1275. 46 indexed citations

6.

Zhou, Chi, et al.. (2020). Systematically Characterizing A-to-I RNA Editing Neoantigens in Cancer. Frontiers in Oncology. 10. 593989–593989. 25 indexed citations

7.

Wei, Zhiting, Xin Chen, Yukang Gong, et al.. (2020). iDMer: an integrative and mechanism-driven response system for identifying compound interventions for sudden virus outbreak. Briefings in Bioinformatics. 22(2). 976–987. 16 indexed citations

8.

Zhou, Chi, Lihua Tang, Yukang Gong, et al.. (2020). ASNEO: Identification of personalized alternative splicing based neoantigens with RNA-seq. Aging. 12(14). 14633–14648. 32 indexed citations

9.

Wei, Zhiting, Chi Zhou, Ming Guan, et al.. (2019). The Landscape of Tumor Fusion Neoantigens: A Pan-Cancer Analysis. iScience. 21. 249–260. 47 indexed citations

10.

Zhou, Chi, Zhiting Wei, Biyu Zhang, et al.. (2019). pTuneos: prioritizing tumor neoantigens from next-generation sequencing data. Genome Medicine. 11(1). 67–67. 60 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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