Junhong Sun

1.6k total citations
68 papers, 1.2k citations indexed

About

Junhong Sun is a scholar working on Molecular Biology, Surgery and Insect Science. According to data from OpenAlex, Junhong Sun has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Surgery and 16 papers in Insect Science. Recurrent topics in Junhong Sun's work include Forensic Entomology and Diptera Studies (15 papers), Wound Healing and Treatments (11 papers) and Organ Transplantation Techniques and Outcomes (11 papers). Junhong Sun is often cited by papers focused on Forensic Entomology and Diptera Studies (15 papers), Wound Healing and Treatments (11 papers) and Organ Transplantation Techniques and Outcomes (11 papers). Junhong Sun collaborates with scholars based in China, Australia and United States. Junhong Sun's co-authors include Geoffrey W. McCaughan, G. Alex Bishop, Chuanmin Wang, A. G. R. Sheil, A. G. R. Sheil, N. D. Gallagher, Qiu-xiang Du, Alexandra F. Sharland, Yingyuan Wang and Lisheng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and Analytical Chemistry.

In The Last Decade

Junhong Sun

63 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junhong Sun China 16 448 391 275 244 160 68 1.2k
Jean‐François Cailhier Canada 18 486 1.1× 168 0.4× 349 1.3× 70 0.3× 22 0.1× 51 1.3k
Xiaoning Li China 16 176 0.4× 113 0.3× 92 0.3× 95 0.4× 14 0.1× 38 771
Begoña Campos United States 21 215 0.5× 201 0.5× 508 1.8× 183 0.8× 29 0.2× 48 1.2k
Rahul Sharma United States 20 849 1.9× 165 0.4× 291 1.1× 42 0.2× 82 0.5× 45 1.3k
Vera Cherepanov Canada 18 251 0.6× 146 0.4× 325 1.2× 8 0.0× 152 0.9× 27 1.2k
Stefania Greco Italy 18 80 0.2× 177 0.5× 184 0.7× 21 0.1× 12 0.1× 44 930
Haiyan Huang China 20 164 0.4× 136 0.3× 706 2.6× 43 0.2× 14 0.1× 51 1.5k
Sheri Kelemen United States 25 473 1.1× 147 0.4× 462 1.7× 18 0.1× 15 0.1× 36 1.1k
Sandro L. Yong Netherlands 20 264 0.6× 89 0.2× 588 2.1× 64 0.3× 11 0.1× 41 1.3k
Xue-Jia Lin China 9 399 0.9× 122 0.3× 1.0k 3.7× 13 0.1× 44 0.3× 12 1.4k

Countries citing papers authored by Junhong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Junhong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhong Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Junhong Sun. A scholar is included among the top collaborators of Junhong Sun 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 Junhong Sun. Junhong Sun 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
1.
Zhang, Xudong, Ji Zhang, Kaifei Deng, et al.. (2025). Etiology-Agnostic Diagnosis of Early Myocardial Ischemia via AI-Driven Label-Free Spectral Histopathology. Analytical Chemistry. 97(43). 24011–24020.
2.
Sun, Junhong, Yuzhen Zhang, Mengru Li, et al.. (2024). An antigen/chemotherapy co-loaded DNA nanocube inserts into tumor cell plasma membrane and enhances chemo- and immunotherapy. International Journal of Pharmaceutics. 669. 125068–125068. 2 indexed citations
3.
Li, Jian, Mingfeng Liu, Na Li, et al.. (2023). Multi-omics integration strategy in the post-mortem interval of forensic science. Talanta. 268(Pt 1). 125249–125249. 15 indexed citations
4.
Li, Na, Shidong Zhou, Jian Li, et al.. (2023). Exploring postmortem succession of rat intestinal microbiome for PMI based on machine learning algorithms and potential use for humans. Forensic Science International Genetics. 66. 102904–102904. 13 indexed citations
5.
Cao, Jie, Jian Li, Kang Ren, et al.. (2023). Combined metabolomics and tandem machine-learning models for wound age estimation: a novel analytical strategy. Forensic Sciences Research. 8(1). 50–61. 3 indexed citations
6.
Li, Jian, Mingfeng Liu, Na Li, et al.. (2023). Novel Prediction Method Applied to Wound Age Estimation: Developing a Stacking Ensemble Model to Improve Predictive Performance Based on Multi-mRNA. Diagnostics. 13(3). 395–395. 3 indexed citations
7.
Gu, Zhen, et al.. (2022). Application of Linear Regression Model of Gpnmb Gene in Rat Injury Time Estimation.. SHILAP Revista de lepidopterología. 38(4). 468–472. 1 indexed citations
8.
Ren, Kang, Liangliang Wang, Yifei Wang, et al.. (2022). Wound age estimation based on next-generation sequencing: Fitting the optimal index system using machine learning. Forensic Science International Genetics. 59. 102722–102722. 2 indexed citations
9.
Lu, Xiaojun, Jian Li, Qiu-xiang Du, et al.. (2022). A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques. International Journal of Legal Medicine. 137(1). 237–249. 19 indexed citations
10.
Li, Na, Rufeng Bai, Chun Li, et al.. (2021). Insight into molecular profile changes after skeletal muscle contusion using microarray and bioinformatics analyses. Bioscience Reports. 41(1). 11 indexed citations
11.
Ren, Kang, Liangliang Wang, Liang Wang, et al.. (2021). Investigating Transcriptional Dynamics Changes and Time-Dependent Marker Gene Expression in the Early Period After Skeletal Muscle Injury in Rats. Frontiers in Genetics. 12. 650874–650874. 9 indexed citations
12.
Du, Qiu-xiang, et al.. (2021). Estimating the time of skeletal muscle contusion based on the spatial distribution of neutrophils: a practical approach to forensic problems. International Journal of Legal Medicine. 136(1). 149–158. 3 indexed citations
13.
Gu, Zhen, et al.. (2020). Analysis of sensitivity and specificity: precise recognition of neutrophils during regeneration of contused skeletal muscle in rats. Forensic Sciences Research. 7(2). 228–237. 8 indexed citations
15.
Li, Na, Qiu-xiang Du, Rufeng Bai, & Junhong Sun. (2018). Vitality and wound-age estimation in forensic pathology: review and future prospects. Forensic Sciences Research. 5(1). 15–24. 38 indexed citations
16.
Sun, Junhong, et al.. (2008). Sudden cardiac death caused by a primary intimal sarcoma of the left coronary artery. International Journal of Legal Medicine. 123(6). 503–506. 10 indexed citations
17.
Sun, Junhong, et al.. (2001). EFFECT OF LIVER TRANSPLANTATION ON ISLET ALLOGRAFTS. Transplantation. 71(1). 102–111. 10 indexed citations
18.
Wang, Chuanmin, A. G. R. Sheil, & Junhong Sun. (1999). Outcome of different models of multiorgan transplantation in rats. Microsurgery. 19(7). 318–323. 7 indexed citations
19.
Sharland, Alexandra F., Chuanmin Wang, Junhong Sun, et al.. (1998). KINETICS OF INTRAGRAFT CYTOKINE EXPRESSION, CELLULAR INFILTRATION, AND CELL DEATH IN REJECTION OF RENAL ALLOGRAFTS COMPARED WITH ACCEPTANCE OF LIVER ALLOGRAFTS IN A RAT MODEL. Transplantation. 65(10). 1370–1377. 67 indexed citations
20.
Sun, Junhong, A. G. R. Sheil, Chuanmin Wang, et al.. (1996). TOLERANCE TO RAT LIVER ALLOGRAFTS. Transplantation. 62(12). 1725–1730. 144 indexed citations

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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