Dingxin Long

68 papers receiving 1.5k citations

Dingxin Long's Hit Papers

The uses of zebrafish (Danio rerio) as an in vivo model for toxicological studies: A review based on bibliometrics 2024 · 59 citations
590+2+4Years since publication100200300400

Peers

Dingxin Long
Comparison fields: 5 of 129
  • Cancer Research 260
  • Health, Toxicology and Mutagenesis 231
  • Biochemistry 73
  • Pulmonary and Respiratory Medicine 327
  • Molecular Biology 684
Replace Shuyue Wang with:
Shuyue Wang China
Xuejun Jiang China
Peter Schröeder Germany
Yung‐Feng Lin Taiwan
Yingxiong Wang China
Lun Song China
Laura Vergani Italy
Kiminobu Goto Japan
Camila García Brazil
Changjiang Huang China
Dingxin Long relative to Shuyue Wang China Shuyue Wang's profile →
Citations per field
00.5×1.5×2.1×
Shuyue Wang · 1×
Citations per year

Countries citing papers authored by Dingxin Long

Since Specialization
Citations

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

Fields of papers citing papers by Dingxin Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dingxin Long, 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 Dingxin Long Line = papers co-authored together Dingxin Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nrf2 and Ferroptosis: A New Research Direction for Neurodegenerative Diseases
Hit paper breakdown →
2020437
2 2015120
3
The uses of zebrafish (Danio rerio) as an in vivo model for toxicological studies: A review based on bibliometrics
Hit paper breakdown →
202459
4 202258
5 200955
6 201352
7 201844
8 202439
9 201637
10 200935
11 201329
12 201926
13 201726
14 201424
15 201822
16 200821
17 201120
18 201418
19 201318
20 201318

About Dingxin Long

Dingxin Long is a scholar working on Molecular Biology, Plant Science, Health, Toxicology and Mutagenesis, Cell Biology and Epidemiology, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (20 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Environmental Toxicology and Ecotoxicology (8 papers), Autophagy in Disease and Therapy (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Pesticide and Herbicide Environmental Studies (6 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Cancer Research (260 citations), Health, Toxicology and Mutagenesis (231 citations), Biochemistry (73 citations), Pulmonary and Respiratory Medicine (327 citations) and Molecular Biology (684 citations). Dingxin Long has collaborated with scholars based in China, Kazakhstan and United States. Frequent co-authors include Xiaohua Song, Yi‐Jun Wu, Huiping Wang, Yujie Liang, Rui Chen, Weichao Zhao, Ying‐Jian Sun, Chunying Chen, Ru Bai and Yi Cao. Their work appears in journals such as Chemico-Biological Interactions, Gene, Molecular and Cellular Biochemistry, BMC Pharmacology and Toxicology and Biomarkers.

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.

Explore authors with similar magnitude of impact