Danyan Ji

10 total papers · 699 total citations
10 papers, 642 citations indexed

About

Danyan Ji is a scholar working on Biomedical Engineering, Water Science and Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Danyan Ji has authored 10 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 5 papers in Water Science and Technology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Danyan Ji's work include Nanopore and Nanochannel Transport Studies (9 papers), Membrane Separation Technologies (5 papers) and Membrane-based Ion Separation Techniques (4 papers). Danyan Ji is often cited by papers focused on Nanopore and Nanochannel Transport Studies (9 papers), Membrane Separation Technologies (5 papers) and Membrane-based Ion Separation Techniques (4 papers). Danyan Ji collaborates with scholars based in China, Russia and United States. Danyan Ji's co-authors include Wei Guo, Lei Jiang, Qi Wen, Yaping Feng, Liuxuan Cao, Hao Li, Liping Ding, Jinlei Yang, Lili Wang and Ning Li and has published in prestigious journals such as Nature Communications, Blood and ACS Nano.

In The Last Decade

Danyan Ji

10 papers receiving 637 citations

Author Peers

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

Author Last Decade Papers Cites
Danyan Ji 520 297 269 187 83 10 642
Sylvia Xin Li 360 0.7× 174 0.6× 98 0.4× 192 1.0× 41 0.5× 14 556
Yen‐Shao Su 655 1.3× 367 1.2× 242 0.9× 65 0.3× 112 1.3× 11 693
Mustafa Erbakan 364 0.7× 114 0.4× 233 0.9× 70 0.4× 28 0.3× 11 561
Tobias Foller 221 0.4× 276 0.9× 116 0.4× 505 2.7× 51 0.6× 19 648
Jianmei Xu 352 0.7× 137 0.5× 415 1.5× 229 1.2× 99 1.2× 18 632
Thomas J. Nacken 196 0.4× 135 0.5× 26 0.1× 675 3.6× 60 0.7× 13 753
Hiroshi Takehira 226 0.4× 500 1.7× 43 0.2× 311 1.7× 136 1.6× 16 722
Yoon Tae Nam 378 0.7× 115 0.4× 401 1.5× 541 2.9× 104 1.3× 12 692
Emily M. W. Tsang 267 0.5× 539 1.8× 28 0.1× 99 0.5× 142 1.7× 9 714
Shafique Pineda 270 0.5× 310 1.0× 168 0.6× 317 1.7× 112 1.3× 10 680

Countries citing papers authored by Danyan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Danyan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danyan Ji

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