Baojin Hua

1.8k citations
38 papers · 1.3k indexed · h-index 19
Topics
Pharmacological Effects of Natural Compounds (5 papers)Cancer-related molecular mechanisms research (4 papers)Gastric Cancer Management and Outcomes (4 papers)

In The Last Decade

Baojin Hua

37 papers receiving 1.3k citations

Peers

Baojin Hua
Comparison fields: 5 of 100
  • Molecular Biology 641
  • Oncology 327
  • Pulmonary and Respiratory Medicine 271
  • Cancer Research 266
  • Surgery 234
Replace Jiasheng Mu with:
Jiasheng Mu China
Hui Cao China
Dae‐Woon Eom South Korea
Junhua Zheng China
Lizhu Lin China
Wanyin Wu China
Mei Meng China
Shakir M. Saud United States
Animesh Dhar United States
Yueh-Min Lin Taiwan
Baojin Hua relative to Jiasheng Mu China Jiasheng Mu's profile →
Citations per field
00.5×1.5×2.5×
Jiasheng Mu · 1×
Citations per year

Countries citing papers authored by Baojin Hua

Since Specialization
Citations

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

Fields of papers citing papers by Baojin Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baojin Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Baojin Hua. A scholar is included among the top collaborators of Baojin 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 Baojin Hua. Baojin Hua 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
#WorkIndexed citations
1 0
2 3
3 3
4 20
5 4
6 18
7 8
8 34
9 20
10 221
11 6
12 30
13 40
14 30
15 45
16 83
17
Discussion on Problems of Serum Pharmacological Experiment of Chinese Medicine
1
18
Clinical Observation of Network Vessel-Freeing Formula as a Topical Wash Combined for 34 Cases of Chemotherapy-Induced Peripheral Neuropathy
1
19 38
20 18

About Baojin Hua

Baojin Hua is a scholar working on Pharmacology, Cancer Research and Complementary and alternative medicine, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (5 papers), Cancer-related molecular mechanisms research (4 papers) and Gastric Cancer Management and Outcomes (4 papers). The work is most often cited by research in Cancer Research (266 citations), Pharmacology (124 citations) and Oncology (327 citations). Baojin Hua has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shakir M. Saud, Weidong Li, Guohong Chen, Rui Liu, Matthew R. Young, Qiujun Guo, Honggang Zheng, Yuan Yuan, Wei Hou and Shuntai Chen. Their work appears in journals such as Gastroenterology, PLoS ONE and Scientific Reports.

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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