Haihua Pan

6.4k total citations
112 papers, 5.3k citations indexed

About

Haihua Pan is a scholar working on Biomaterials, Biomedical Engineering and Orthodontics. According to data from OpenAlex, Haihua Pan has authored 112 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Biomaterials, 61 papers in Biomedical Engineering and 20 papers in Orthodontics. Recurrent topics in Haihua Pan's work include Bone Tissue Engineering Materials (56 papers), Calcium Carbonate Crystallization and Inhibition (50 papers) and Dental materials and restorations (18 papers). Haihua Pan is often cited by papers focused on Bone Tissue Engineering Materials (56 papers), Calcium Carbonate Crystallization and Inhibition (50 papers) and Dental materials and restorations (18 papers). Haihua Pan collaborates with scholars based in China, United States and South Korea. Haihua Pan's co-authors include Ruikang Tang, Xurong Xu, Jinhui Tao, Qi Wang, Tao Wu, Wenge Jiang, Shuqin Jiang, Changyu Shao, Jia‐Wei Shen and Ben Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Haihua Pan

110 papers receiving 5.2k citations

Peers

Haihua Pan
Comparison fields: 5 of 143
  • Biomedical Engineering 3.0k
  • Biomaterials 2.2k
  • Orthodontics 960
  • Materials Chemistry 939
  • Rheumatology 488
Laurie B. Gower United States
Jinhui Tao United States
Christèle Combes France
Michele Iafisco Italy
Norberto Roveri Italy
Xurong Xu China
Marta Cerruti Canada
Frank A. Müller Germany
Toshiyuki Ikoma Japan
Kazuo Onuma Japan
Laurie B. Gower United States View profile →
Citations per field, relative to Haihua Pan
Haihua Pan · 1×
Citations per year, relative to Haihua Pan
Haihua Pan · 1×

Countries citing papers authored by Haihua Pan

Since Specialization
Citations

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

Fields of papers citing papers by Haihua Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihua Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Haihua Pan. A scholar is included among the top collaborators of Haihua Pan 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 Haihua Pan. Haihua Pan 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 4
2 5
3 1
4 10
5
The application of the county medical community HCH model in postoperative nutrition management for patients with advanced gastrointestinal carcinoma
1
6 22
7 28
8 54
9 35
10 51
11 5
12 117
13 16
14 25
15 32
16 210
17 194
18 166
19 238
20 138

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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