Jing Bai

48 total papers · 555 total citations
30 papers, 416 citations indexed

About

Jing Bai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jing Bai has authored 30 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jing Bai's work include Neuroscience and Neuropharmacology Research (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Jing Bai is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Jing Bai collaborates with scholars based in China, France and Ethiopia. Jing Bai's co-authors include Satoru Otani, Kévin Blot, Aude Marzo, Xupeng Wang, Wei Yang, Yang Bai, Limin Zhang, Zhe Xiao, Xiangli Kong and Hang Zhao and has published in prestigious journals such as Cerebral Cortex, Medicine and Schizophrenia Research.

In The Last Decade

Jing Bai

28 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Jing Bai	123	96	84	71	57	30	416
Yuichi Maruta	117 1.0×	76 0.8×	48 0.6×	39 0.5×	53 0.9×	33	486
Hirochika Imoto	164 1.3×	79 0.8×	42 0.5×	17 0.2×	62 1.1×	39	426
Hiroto Ohata	67 0.5×	44 0.5×	39 0.5×	41 0.6×	64 1.1×	31	459
Baohui Jia	33 0.3×	138 1.4×	67 0.8×	42 0.6×	25 0.4×	33	473
Si Zhang	85 0.7×	120 1.3×	105 1.3×	53 0.7×	7 0.1×	43	480
Makoto Nabetani	89 0.7×	96 1.0×	33 0.4×	169 2.4×	31 0.5×	33	463
Philippe Noël	55 0.4×	63 0.7×	53 0.6×	55 0.8×	8 0.1×	25	450
H. Theilen	56 0.5×	79 0.8×	26 0.3×	34 0.5×	56 1.0×	23	424
Hideaki Hayashi	168 1.4×	65 0.7×	29 0.3×	24 0.3×	84 1.5×	23	486
Jacek Szczygielski	87 0.7×	91 0.9×	34 0.4×	16 0.2×	26 0.5×	35	429

Countries citing papers authored by Jing Bai

Since Specialization

Citations

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

Fields of papers citing papers by Jing Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Bai

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