Yirong Shi

1.8k total citations
10 papers, 206 citations indexed

About

Yirong Shi is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Yirong Shi has authored 10 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Yirong Shi's work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and Genomics and Rare Diseases (2 papers). Yirong Shi is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and Genomics and Rare Diseases (2 papers). Yirong Shi collaborates with scholars based in China and United States. Yirong Shi's co-authors include Peng Zhang, Shunmin He, Yanyan Li, Tingrui Song, Honghong Zhou, Huaxia Luo, Yiwei Niu, Jiajia Wang, Tao Xu and Yi Zhao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Cell Reports.

In The Last Decade

Yirong Shi

9 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yirong Shi China	7	134	69	51	32	14	10	206
Honggui Wu China	6	179 1.3×	30 0.4×	45 0.9×	22 0.7×	6 0.4×	9	219
Stephanie Lauer United States	4	91 0.7×	60 0.9×	20 0.4×	33 1.0×	5 0.4×	4	157
Alexander K. Godfrey United States	4	178 1.3×	104 1.5×	40 0.8×	13 0.4×	9 0.6×	4	304
Xiaozhen Liu China	10	187 1.4×	57 0.8×	13 0.3×	7 0.2×	19 1.4×	29	275
Luis F. Paulin United States	7	161 1.2×	68 1.0×	31 0.6×	57 1.8×	6 0.4×	8	227
Long Vo Ngoc United States	7	266 2.0×	41 0.6×	20 0.4×	27 0.8×	9 0.6×	8	311
Kepin Wang China	9	179 1.3×	63 0.9×	7 0.1×	16 0.5×	18 1.3×	18	220
Martin Modrák Czechia	9	156 1.2×	102 1.5×	14 0.3×	7 0.2×	9 0.6×	18	228
Chuanbo Sun China	8	283 2.1×	84 1.2×	14 0.3×	62 1.9×	9 0.6×	17	336
Auke B.C. Otten United States	9	218 1.6×	24 0.3×	47 0.9×	18 0.6×	20 1.4×	12	284

Countries citing papers authored by Yirong Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yirong Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yirong Shi

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

All Works

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10 of 10 papers shown

1.

Zhang, Sijia, Song Qiao, Peng Zhang, et al.. (2024). Genome-wide investigation of VNTR motif polymorphisms in 8,222 genomes: Implications for biological regulation and human traits. Cell Genomics. 4(12). 100699–100699. 2 indexed citations

2.

Song, Tingrui, Yirong Shi, Yanyan Li, et al.. (2024). TOAnnoPriDB: an integrative database for trans-omic annotation and prioritization of non-coding variants across human genome. Science Bulletin. 70(11). 1757–1760.

3.

Luo, Huaxia, Peng Zhang, Wanyu Zhang, et al.. (2023). Recent positive selection signatures reveal phenotypic evolution in the Han Chinese population. Science Bulletin. 68(20). 2391–2404. 11 indexed citations

4.

Shi, Yirong, Yiwei Niu, Peng Zhang, et al.. (2023). Characterization of genome-wide STR variation in 6487 human genomes. Nature Communications. 14(1). 2092–2092. 32 indexed citations

5.

Niu, Yiwei, Xueyi Teng, Honghong Zhou, et al.. (2022). Characterizing mobile element insertions in 5675 genomes. Nucleic Acids Research. 50(5). 2493–2508. 21 indexed citations

6.

Liu, Zhen, et al.. (2021). A Novel Testing Method for Interrupt Response Time. 2 indexed citations

7.

Zhang, Peng, Huaxia Luo, Yanyan Li, et al.. (2021). NyuWa Genome resource: A deep whole-genome sequencing-based variation profile and reference panel for the Chinese population. Cell Reports. 37(7). 110017–110017. 42 indexed citations

8.

Wang, Jiajia, Yirong Shi, Honghong Zhou, et al.. (2021). piRBase: integrating piRNA annotation in all aspects. Nucleic Acids Research. 50(D1). D265–D272. 72 indexed citations

9.

Lu, Chang, et al.. (2019). Identification and analysis of long non-coding RNAs in response to H5N1 influenza viruses in duck (Anas platyrhynchos). BMC Genomics. 20(1). 36–36. 12 indexed citations

10.

Shi, Yirong, Chongming Yang, Yun He, et al.. (2019). CD4+ T Cell Count, Sleep, Depression, and Anxiety in People Living With HIV: A Growth Curve Mixture Modeling. Journal of the Association of Nurses in AIDS Care. 31(5). 535–543. 12 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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