Di Hua

33 total papers · 580 total citations
22 papers, 416 citations indexed

About

Di Hua is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Di Hua has authored 22 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Di Hua's work include Spine and Intervertebral Disc Pathology (4 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). Di Hua is often cited by papers focused on Spine and Intervertebral Disc Pathology (4 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). Di Hua collaborates with scholars based in China, United States and Uganda. Di Hua's co-authors include Zhang Wang, XU Shi-ying, Lihua Jiang, Ying‐Yu Ma, Ketao Jin, Jiayu Yao, Qingyun Wei, Ling Weng, Xueting Cai and Wei Qin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Di Hua

20 papers receiving 410 citations

Hit Papers

M1 macrophage-derived exo... 2024 2026 2024 10 20 30

Author Peers

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

Author Last Decade Papers Cites
Di Hua 204 95 66 62 51 22 416
Xinxue Zhang 160 0.8× 68 0.7× 61 0.9× 34 0.5× 70 1.4× 33 433
Deepti Singh 221 1.1× 97 1.0× 21 0.3× 65 1.0× 65 1.3× 22 483
Ailin Zhang 250 1.2× 145 1.5× 47 0.7× 25 0.4× 58 1.1× 30 478
Su Ji Kim 242 1.2× 55 0.6× 54 0.8× 20 0.3× 48 0.9× 16 489
Li‐Yen Shiu 216 1.1× 51 0.5× 89 1.3× 45 0.7× 70 1.4× 20 451
Vipendra Kumar Singh 178 0.9× 63 0.7× 29 0.4× 82 1.3× 63 1.2× 26 436
Yuan Li 222 1.1× 47 0.5× 31 0.5× 33 0.5× 50 1.0× 23 458
Junjie Hu 210 1.0× 89 0.9× 33 0.5× 29 0.5× 27 0.5× 25 485
Yuting Yang 181 0.9× 64 0.7× 20 0.3× 38 0.6× 64 1.3× 17 440
Chooi Ling Lim 209 1.0× 47 0.5× 49 0.7× 31 0.5× 77 1.5× 28 489

Countries citing papers authored by Di Hua

Since Specialization
Citations

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

Fields of papers citing papers by Di Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Hua

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