Jiayi Ji

110 total papers · 4.7k total citations
42 papers, 685 citations indexed

About

Jiayi Ji is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Jiayi Ji has authored 42 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Jiayi Ji's work include Advanced Causal Inference Techniques (8 papers), Statistical Methods and Inference (8 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Jiayi Ji is often cited by papers focused on Advanced Causal Inference Techniques (8 papers), Statistical Methods and Inference (8 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Jiayi Ji collaborates with scholars based in United States, China and United Kingdom. Jiayi Ji's co-authors include Liangyuan Hu, Lihua Li, Bian Liu, Fan Li, Yan Li, Chenyang Gu, Michael J. Lopez, Juan P. Wisnivesky, Ziheng Yang and Yu He and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Gastroenterology.

In The Last Decade

Jiayi Ji

40 papers receiving 677 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jiayi Ji	137	129	122	109	76	42	685
Zhiyuan Xu	156 1.1×	188 1.5×	169 1.4×	16 0.1×	55 0.7×	57	690
Robert Noble	70 0.5×	106 0.8×	111 0.9×	40 0.4×	18 0.2×	43	686
Jianrong Wu	139 1.0×	208 1.6×	27 0.2×	198 1.8×	58 0.8×	47	730
Lin‐Yee Hin	131 1.0×	142 1.1×	33 0.3×	122 1.1×	99 1.3×	29	786
Norbert Holländer	80 0.6×	40 0.3×	96 0.8×	91 0.8×	93 1.2×	17	673
Xian Liu	68 0.5×	306 2.4×	42 0.3×	18 0.2×	16 0.2×	45	712
Elisabeth Waldmann	26 0.2×	65 0.5×	18 0.1×	119 1.1×	50 0.7×	21	752
Maxwell Salvatore	121 0.9×	63 0.5×	124 1.0×	14 0.1×	94 1.2×	27	673
K. Binks	43 0.3×	60 0.5×	21 0.2×	34 0.3×	40 0.5×	24	689
Elise M. Pelletier	118 0.9×	98 0.8×	39 0.3×	7 0.1×	99 1.3×	23	769

Countries citing papers authored by Jiayi Ji

Since Specialization

Citations

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

Fields of papers citing papers by Jiayi Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiayi Ji

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact