Sulan Bai

23 total papers · 1.1k total citations
20 papers, 904 citations indexed

About

Sulan Bai is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Sulan Bai has authored 20 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Plant Science and 5 papers in Biomedical Engineering. Recurrent topics in Sulan Bai's work include Photosynthetic Processes and Mechanisms (7 papers), Plant Molecular Biology Research (6 papers) and Biosensors and Analytical Detection (5 papers). Sulan Bai is often cited by papers focused on Photosynthetic Processes and Mechanisms (7 papers), Plant Molecular Biology Research (6 papers) and Biosensors and Analytical Detection (5 papers). Sulan Bai collaborates with scholars based in China, United States and South Korea. Sulan Bai's co-authors include Xing Wang Deng, Shu‐Nong Bai, Zhihong Xu, Yi‐Ben Peng, Yiqin Li, Nam‐Chon Paek, Yu Zhang, Sang Sook Kim, James A. Sullivan and Ilha Lee and has published in prestigious journals such as Molecular Cell, Journal of Agricultural and Food Chemistry and The Plant Journal.

In The Last Decade

Sulan Bai

19 papers receiving 893 citations

Author Peers

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

Author						Papers	Cites
Sulan Bai	699	655	116	67	51	20	904
Linyong Mao	654 0.9×	532 0.8×	134 1.2×	19 0.3×	23 0.5×	18	939
Awadhesh Pandit	590 0.8×	312 0.5×	200 1.7×	23 0.3×	58 1.1×	26	815
Tadeusz Rorat	747 1.1×	464 0.7×	36 0.3×	24 0.4×	18 0.4×	27	868
Edson L. Kemper	524 0.7×	426 0.7×	96 0.8×	59 0.9×	107 2.1×	15	824
Piotr Gawroński	790 1.1×	429 0.7×	137 1.2×	22 0.3×	9 0.2×	31	959
Carmen Leida	709 1.0×	493 0.8×	107 0.9×	32 0.5×	8 0.2×	18	809
Edward M. Turk	636 0.9×	591 0.9×	106 0.9×	43 0.6×	15 0.3×	9	923
Mutsuko Nakano	703 1.0×	697 1.1×	71 0.6×	77 1.1×	9 0.2×	15	933
Virginia C. Crane	499 0.7×	551 0.8×	108 0.9×	41 0.6×	15 0.3×	12	816
Yanglin Ding	776 1.1×	459 0.7×	89 0.8×	21 0.3×	12 0.2×	10	903

Countries citing papers authored by Sulan Bai

Since Specialization

Citations

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

Fields of papers citing papers by Sulan Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sulan Bai

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