Geliang Yang

435 citations
23 papers · 286 · h-index 9

Impact in

Papers in

Geliang Yang

21 papers receiving 279 citations

Peers

Geliang Yang
Comparison fields: 5 of 87
  • Clinical Biochemistry 45
  • Drug Discovery 1
  • Complementary and alternative medicine 36
  • Statistics, Probability and Uncertainty 19
  • Oncology 63
Replace Yingmu Cai with:
Yingmu Cai China
John B. Bossaer United States
Chia-Woei Wang Taiwan
Linyu Deng China
Lifang Liu China
Rhanye Mac Guad Malaysia
Carrie L. Griffiths United States
Melanie Adler United States
Saleh AlGhamdi Saudi Arabia
Geliang Yang relative to Yingmu Cai China Yingmu Cai's profile →
Citations per field
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Yingmu Cai · 1×
Citations per year

Countries citing papers authored by Geliang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Geliang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Geliang Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Geliang Yang Line = papers co-authored together Geliang Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016105
2 202036
3 201722
4 201320
5 201719
6 201716
7 202212
8 202310
9 20209
10 20167
11 20187
12 20165
13 20173
14 20183
15 20153
16 20162
17 20122
18 20182
19 20141
20 20211

About Geliang Yang

Geliang Yang is a scholar working on Molecular Biology, Complementary and alternative medicine, Electrical and Electronic Engineering, Oncology and Pharmacology, having authored 23 papers that have together received 286 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (4 papers), Complementary and Alternative Medicine Studies (4 papers), Meta-analysis and systematic reviews (3 papers), Natural product bioactivities and synthesis (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Acupuncture Treatment Research Studies (2 papers), Herbal Medicine Research Studies (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Clinical Biochemistry (45 citations), Drug Discovery (1 citation), Complementary and alternative medicine (36 citations), Statistics, Probability and Uncertainty (19 citations) and Oncology (63 citations). Geliang Yang has collaborated with scholars based in China and United States. Frequent co-authors include Huiqing Zhang, Wei Zhang, Ruixiang Song, Qi Chen, Teng‐Yun Wu, Lin Zhao, Yufei Yang, Changquan Ling, Yonghua Su and Wei Gu. Their work appears in journals such as Integrative Cancer Therapies, Oncotarget, Journal of Semiconductors, BMJ Open and IEEE Transactions on Circuits & Systems II Express Briefs.

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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