B.N. Jin

8.1k total citations
4 papers, 16 citations indexed

About

B.N. Jin is a scholar working on Molecular Biology, Artificial Intelligence and Complementary and alternative medicine. According to data from OpenAlex, B.N. Jin has authored 4 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Complementary and alternative medicine. Recurrent topics in B.N. Jin's work include Microbial Metabolites in Food Biotechnology (1 paper), Innovative Teaching and Learning Methods (1 paper) and Quantum Information and Cryptography (1 paper). B.N. Jin is often cited by papers focused on Microbial Metabolites in Food Biotechnology (1 paper), Innovative Teaching and Learning Methods (1 paper) and Quantum Information and Cryptography (1 paper). B.N. Jin collaborates with scholars based in China and United States. B.N. Jin's co-authors include F. S. Merritt, M. V. Purohit, F. Sciulli, D. Yovanovitch, O. Fackler, R. L. Messner, M. H. Shaevitz, K.A. Jenkins, R. E. Blair and T. Kondo and has published in prestigious journals such as Physics Letters B and International Journal of Biological Macromolecules.

In The Last Decade

B.N. Jin

2 papers receiving 16 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B.N. Jin China 2 15 3 4 16
R. A. Wendell Japan 3 16 1.1× 3 1.0× 3 16
Tobias Lachenmaier Germany 3 14 0.9× 3 1.0× 4 16
Thibaut Wolf Germany 3 18 1.2× 3 1.0× 5 19
G. Ortona Italy 2 15 1.0× 3 1.0× 5 15
N. Novitzky United States 3 17 1.1× 3 1.0× 5 17
T. Rommerskirchen Switzerland 2 19 1.3× 3 1.0× 2 19
J. Perkins United States 3 16 1.1× 3 1.0× 3 16
J. De Favereau De Jeneret Italy 3 15 1.0× 3 1.0× 5 15
J. M. Burward-Hoy United States 1 11 0.7× 3 1.0× 2 11
M. Broz United States 2 17 1.1× 3 1.0× 3 17

Countries citing papers authored by B.N. Jin

Since Specialization
Citations

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

Fields of papers citing papers by B.N. Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.N. Jin. 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 B.N. Jin. The network helps show where B.N. Jin may publish in the future.

Co-authorship network of co-authors of B.N. Jin

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

All Works

4 of 4 papers shown
1.
Zhang, Li, Xin Chen, Jiali Li, et al.. (2025). Natural plant polysaccharides drive multidimensional metabolic homeostasis via the “gut microbiota–metabolite–host” axis. International Journal of Biological Macromolecules. 329(Pt 1). 147728–147728. 1 indexed citations
4.
Merritt, F. S., D. B. MacFarlane, R. L. Messner, et al.. (1985). Measurement of sin2θw and ϱ in deep inelastic neutrino-nucleon scattering. Physics Letters B. 152(5-6). 404–410. 15 indexed citations

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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