Jian Bi

34 total papers · 603 total citations
26 papers, 500 citations indexed

About

Jian Bi is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jian Bi has authored 26 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Epidemiology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jian Bi's work include Plant-Microbe Interactions and Immunity (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Jian Bi is often cited by papers focused on Plant-Microbe Interactions and Immunity (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Jian Bi collaborates with scholars based in China, United States and Saudi Arabia. Jian Bi's co-authors include Haiying Tang, Boaz Avitall, Xiaoyan Tan, Jingwei Mao, J. Michael O’Donnell, Ying-De Wang, Ping Gao, Yan Dong, Yujie Jia and Na Li and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Lipid Research and Frontiers in Microbiology.

In The Last Decade

Jian Bi

24 papers receiving 495 citations

Author Peers

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

Author						Papers	Cites
Jian Bi	197	143	80	65	53	26	500
Helen Bass	202 1.0×	144 1.0×	69 0.9×	70 1.1×	81 1.5×	18	599
Masoud Pezeshkian	182 0.9×	142 1.0×	87 1.1×	64 1.0×	37 0.7×	25	487
Parmeshwar B. Katare	234 1.2×	78 0.5×	56 0.7×	81 1.2×	38 0.7×	19	514
Xiaowei Ma	249 1.3×	65 0.5×	124 1.6×	114 1.8×	41 0.8×	24	603
Hongyang Shu	214 1.1×	168 1.2×	64 0.8×	57 0.9×	53 1.0×	23	504
J. Hinnie	102 0.5×	78 0.5×	51 0.6×	50 0.8×	56 1.1×	26	537
Mario Navarro-Márquez	278 1.4×	93 0.7×	67 0.8×	79 1.2×	41 0.8×	18	494
Melissa Skibba	239 1.2×	62 0.4×	59 0.7×	50 0.8×	44 0.8×	21	542
Ayed Allawzi	189 1.0×	42 0.3×	50 0.6×	47 0.7×	60 1.1×	19	534
Rachid Seqqat	167 0.8×	208 1.5×	32 0.4×	36 0.6×	42 0.8×	24	576

Countries citing papers authored by Jian Bi

Since Specialization

Citations

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

Fields of papers citing papers by Jian Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Bi

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

All Works

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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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