Ling‐juan Zhang

114 total papers · 5.3k total citations
70 papers, 3.8k citations indexed

About

Ling‐juan Zhang is a scholar working on Dermatology, Immunology and Molecular Biology. According to data from OpenAlex, Ling‐juan Zhang has authored 70 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Dermatology, 17 papers in Immunology and 16 papers in Molecular Biology. Recurrent topics in Ling‐juan Zhang's work include Dermatology and Skin Diseases (17 papers), Antimicrobial Peptides and Activities (9 papers) and Catalytic C–H Functionalization Methods (8 papers). Ling‐juan Zhang is often cited by papers focused on Dermatology and Skin Diseases (17 papers), Antimicrobial Peptides and Activities (9 papers) and Catalytic C–H Functionalization Methods (8 papers). Ling‐juan Zhang collaborates with scholars based in China, United States and France. Ling‐juan Zhang's co-authors include Richard L. Gallo, Meimei Yin, Xiaowei Zhang, Tissa Hata, Maksim V. Plikus, Christian F. Guerrero‐Juarez, Sagar P. Bapat, Raúl Ramos, Christopher A. Adase and James Sanford and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ling‐juan Zhang

66 papers receiving 3.7k citations

Hit Papers

Antimicrobial peptides 2015 2026 2018 2022 2016 2015 2019 2022 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Ling‐juan Zhang 1.2k 954 794 670 468 70 3.8k
Günther Weindl 992 0.8× 864 0.9× 610 0.8× 603 0.9× 612 1.3× 74 3.3k
Koji Sayama 1.4k 1.1× 1.3k 1.4× 849 1.1× 850 1.3× 280 0.6× 137 4.2k
Nataša Škalko‐Basnet 1.4k 1.1× 335 0.4× 451 0.6× 466 0.7× 298 0.6× 127 5.5k
Josef G. Meingassner 823 0.7× 912 1.0× 1.1k 1.3× 316 0.5× 525 1.1× 77 3.6k
Monika Schäfer‐Korting 2.2k 1.8× 668 0.7× 2.4k 3.1× 345 0.5× 397 0.8× 180 7.8k
Lloyd Miller 2.3k 1.8× 3.1k 3.2× 1.2k 1.5× 844 1.3× 777 1.7× 120 7.3k
Teruaki Nakatsuji 1.4k 1.2× 1.2k 1.2× 3.1k 3.9× 601 0.9× 679 1.5× 80 6.0k
Anna Di Nardo 1.2k 1.0× 1.7k 1.7× 2.5k 3.2× 964 1.4× 477 1.0× 80 5.4k
Regine Gläser 1.4k 1.1× 1.4k 1.5× 1.4k 1.7× 1.1k 1.7× 381 0.8× 95 4.3k
Takaaki Ohtake 1.7k 1.4× 1.8k 1.9× 1.7k 2.2× 2.3k 3.5× 944 2.0× 91 6.9k

Countries citing papers authored by Ling‐juan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐juan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐juan Zhang. 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 Ling‐juan Zhang. The network helps show where Ling‐juan Zhang may publish in the future.

Co-authorship network of co-authors of Ling‐juan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐juan Zhang. A scholar is included among the top collaborators of Ling‐juan Zhang 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 Ling‐juan Zhang. Ling‐juan Zhang 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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