Long Bai

70 total papers · 883 total citations
56 papers, 581 citations indexed

About

Long Bai is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Long Bai has authored 56 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Public Health, Environmental and Occupational Health and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Long Bai's work include Advanced Radiotherapy Techniques (10 papers), Reproductive Biology and Fertility (8 papers) and Cancer-related molecular mechanisms research (5 papers). Long Bai is often cited by papers focused on Advanced Radiotherapy Techniques (10 papers), Reproductive Biology and Fertility (8 papers) and Cancer-related molecular mechanisms research (5 papers). Long Bai collaborates with scholars based in China, United States and Thailand. Long Bai's co-authors include Yimin Zhu, Shan Wan, Guangjun Li, Sen Bai, Jing Zhang, Zhao Zhang, Linlin Chen, Dijun Chen, Yuanguang Meng and Zhibin Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Long Bai

47 papers receiving 575 citations

Author Peers

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

Author						Papers	Cites
Long Bai	198	90	81	80	72	56	581
Yujia Ma	170 0.9×	109 1.2×	20 0.2×	61 0.8×	36 0.5×	47	557
Andrea Gaetano Allegra	265 1.3×	78 0.9×	21 0.3×	113 1.4×	31 0.4×	47	637
Meng Yuan	158 0.8×	68 0.8×	28 0.3×	160 2.0×	32 0.4×	70	662
Li Gao	88 0.4×	42 0.5×	18 0.2×	123 1.5×	31 0.4×	63	641
Samir Jabari	132 0.7×	30 0.3×	18 0.2×	26 0.3×	60 0.8×	43	550
Nahid Nafissi	171 0.9×	160 1.8×	64 0.8×	94 1.2×	30 0.4×	64	511
E. V. Hulse	105 0.5×	56 0.6×	16 0.2×	108 1.4×	18 0.3×	53	623
Sunil Choudhary	62 0.3×	16 0.2×	51 0.6×	66 0.8×	42 0.6×	65	562
Zhiyong Liu	232 1.2×	64 0.7×	13 0.2×	77 1.0×	17 0.2×	41	603
Na Song	194 1.0×	19 0.2×	29 0.4×	54 0.7×	20 0.3×	31	501

Countries citing papers authored by Long Bai

Since Specialization

Citations

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

Fields of papers citing papers by Long Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Bai

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