Xiaojian Dai

476 total citations
27 papers, 404 citations indexed

About

Xiaojian Dai is a scholar working on Pharmacology, Oncology and Analytical Chemistry. According to data from OpenAlex, Xiaojian Dai has authored 27 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmacology, 6 papers in Oncology and 6 papers in Analytical Chemistry. Recurrent topics in Xiaojian Dai's work include Antibiotics Pharmacokinetics and Efficacy (6 papers), Analytical Methods in Pharmaceuticals (6 papers) and Cancer Treatment and Pharmacology (4 papers). Xiaojian Dai is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (6 papers), Analytical Methods in Pharmaceuticals (6 papers) and Cancer Treatment and Pharmacology (4 papers). Xiaojian Dai collaborates with scholars based in China and Brazil. Xiaojian Dai's co-authors include Xiaoyan Chen, Dafang Zhong, Cen Xie, Zhiwei Gao, Haoyuan Jiang, Liang Li, Lijia Zhang, Pan Deng, Ke Liu and Xiaotao Duan and has published in prestigious journals such as Clinical Pharmacokinetics, Drug Metabolism and Disposition and Obesity Surgery.

In The Last Decade

Xiaojian Dai

25 papers receiving 392 citations

Peers

Xiaojian Dai
Comparison fields: 5 of 80
  • Oncology 128
  • Molecular Biology 104
  • Pulmonary and Respiratory Medicine 87
  • Pharmacology 73
  • Spectroscopy 56
Replace Gilles Tuffal with:
Gilles Tuffal France
Edyta Szałek Poland
Oliver Scherf‐Clavel Germany
Haihong Shi United States
Bipin Mistry United States
Cécile Arellano France
Enaksha Wickremsinhe United States
Eiji Matsushima Japan
E. E. M. Brouwers Netherlands
Yukihiro Hirao Japan
Gilles Tuffal France View profile →
Citations per field, relative to Xiaojian Dai
Xiaojian Dai · 1×
Citations per year, relative to Xiaojian Dai
Xiaojian Dai · 1×

Countries citing papers authored by Xiaojian Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojian Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojian Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojian Dai. A scholar is included among the top collaborators of Xiaojian Dai 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 Xiaojian Dai. Xiaojian Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 5
3 2
4 2
5 9
6 29
7
[Determination of anaprazole in human plasma by LC-MS/MS in pharmacokinetic study].
2
8 4
9 32
10 6
11 41
12 26
13 4
14 7
15 13
16 29
17 28
18 7
19 4
20 25

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

Rankless by CCL
2026