Hong Ni

44 total papers · 1.7k total citations
36 papers, 1.4k citations indexed

About

Hong Ni is a scholar working on Molecular Biology, Biomaterials and Pollution. According to data from OpenAlex, Hong Ni has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Biomaterials and 6 papers in Pollution. Recurrent topics in Hong Ni's work include Pesticide and Herbicide Environmental Studies (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Enzyme-mediated dye degradation (4 papers). Hong Ni is often cited by papers focused on Pesticide and Herbicide Environmental Studies (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Enzyme-mediated dye degradation (4 papers). Hong Ni collaborates with scholars based in China, France and United States. Hong Ni's co-authors include Zushun Xu, Wen Fan, Wei Yan, Lin Li, Xiaowen Sun, Tianjin Zhang, Yun Chen, Jin Liu, Zhiyong Wang and Jing Wang and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Chemosphere.

In The Last Decade

Hong Ni

35 papers receiving 1.4k citations

Hit Papers

Formation mechanism of mo... 2011 2026 2016 2021 2011 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Hong Ni 510 327 254 237 183 36 1.4k
Nathalie Ferreira Silva de Melo 294 0.6× 296 0.9× 226 0.9× 281 1.2× 167 0.9× 45 1.4k
Catarina Gonçalves 561 1.1× 154 0.5× 253 1.0× 322 1.4× 174 1.0× 53 1.4k
Magdalena Stevanović 382 0.7× 158 0.5× 301 1.2× 474 2.0× 146 0.8× 45 1.6k
Marí­a Luisa Del Prado-Audelo 521 1.0× 224 0.7× 327 1.3× 383 1.6× 144 0.8× 58 1.8k
Jaya Bajpai 457 0.9× 150 0.5× 121 0.5× 483 2.0× 138 0.8× 63 1.4k
M. Sabitha 369 0.7× 521 1.6× 197 0.8× 239 1.0× 64 0.3× 33 1.3k
Classius Ferreira da Silva 553 1.1× 278 0.9× 169 0.7× 230 1.0× 125 0.7× 49 1.4k
Deepak Kumar 426 0.8× 135 0.4× 119 0.5× 211 0.9× 81 0.4× 50 1.4k
Maria Rosa Gigliobianco 359 0.7× 335 1.0× 307 1.2× 230 1.0× 81 0.4× 37 1.4k
Esteban F. Durán‐Lara 411 0.8× 141 0.4× 222 0.9× 452 1.9× 253 1.4× 69 1.8k

Countries citing papers authored by Hong Ni

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ni

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