Liang‐Nian Ji

13.5k citations
250 papers · 12.1k indexed · 2 hit papers · h-index 62

Liang‐Nian Ji

249 papers receiving 12.0k citations

Hit Papers

Photodecaging of a Mitochondria-Local...1932017202620202023250500750

Peers

Liang‐Nian Ji
Comparison fields: 5 of 130
  • Oncology 5.9k
  • Organic Chemistry 4.4k
  • Inorganic Chemistry 1.5k
  • Materials Chemistry 3.8k
  • Electronic, Optical and Magnetic Materials 1.2k
Replace Liang‐Nian Ji with:
Liang‐Nian Ji China
Challa V. Kumar United States
Akhil R. Chakravarty India
Christian G. Hartinger New Zealand
Michael A. Jakupec Austria
Wee Han Ang Singapore
Abraha Habtemariam United Kingdom
Ingo Ott Germany
Cai‐Ping Tan China
Paul V. Bernhardt Australia
Liang‐Nian Ji relative to Liang‐Nian Ji China Liang‐Nian Ji's profile →
Citations per field
00.5×1.5×
Liang‐Nian Ji · 1×
Citations per year

Countries citing papers authored by Liang‐Nian Ji

Since Specialization
Citations

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

Fields of papers citing papers by Liang‐Nian Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Liang‐Nian Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liang‐Nian Ji Line = papers co-authored together Liang‐Nian Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202423
2 202411
3 202318
4 2020120
5 201924
6 201815
7 2018114
8 20182
9
The development of anticancer ruthenium(ii) complexes: from single molecule compounds to nanomaterialsbreakdown →
2017876
10 201656
11 2013141
12 201378
13 201241
14 2011116
15 201045
16 201085
17 200820
18 20087
19 20073
20 200413

About Liang‐Nian Ji

Liang‐Nian Ji is a scholar working on Oncology, Inorganic Chemistry and Organic Chemistry, having authored 250 papers that have together received 12.1k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (120 papers), DNA and Nucleic Acid Chemistry (58 papers), Porphyrin and Phthalocyanine Chemistry (44 papers), Advanced biosensing and bioanalysis techniques (43 papers), Nanoplatforms for cancer theranostics (37 papers), Magnetism in coordination complexes (31 papers), Ferrocene Chemistry and Applications (30 papers) and Molecular Sensors and Ion Detection (24 papers). The work is most often cited by research in Oncology (5.9k citations), Organic Chemistry (4.4k citations) and Inorganic Chemistry (1.5k citations). Liang‐Nian Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hui Chao, Zong‐Wan Mao, Cai‐Ping Tan, Leli Zeng, Qianling Zhang, Jinquan Wang, Pingyu Zhang, Zhe‐Sheng Chen, Yu Chen and Jin‐Gang Liu. Their work appears in journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

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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