Guang‐Wan Hu

2.9k citations
172 papers · 1.7k indexed · h-index 23

Impact in

Papers in

Guang‐Wan Hu

158 papers receiving 1.7k citations

Peers

Guang‐Wan Hu
Comparison fields: 5 of 95
  • Ecology, Evolution, Behavior and Systematics 656
  • Forestry 124
  • Ecological Modeling 106
  • Pharmacology 145
  • Plant Science 609
Replace Martin W. Callmander with:
Martin W. Callmander United States
James W. Byng United Kingdom
G. Ravikanth India
Paul I. Forster Australia
Leslie R. Landrum United States
Gloria E. Barboza Argentina
C. Haris Saslis‐Lagoudakis United Kingdom
R. Vasudeva India
Sylvain G. Razafimandimbison Sweden
E. Charles Nelson Australia
Guang‐Wan Hu relative to Martin W. Callmander United States Martin W. Callmander's profile →
Citations per field
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Martin W. Callmander · 1×
Citations per year

Countries citing papers authored by Guang‐Wan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Wan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐Wan Hu. 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 Guang‐Wan Hu. The network helps show where Guang‐Wan Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Guang‐Wan Hu, 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 Guang‐Wan Hu Line = papers co-authored together Guang‐Wan Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20242
4 20242
5 20235
6 20232
7 202310
8 202313
9 20227
10 202234
11 202216
12 20221
13 20220
14 202223
15 202215
16 202122
17 20212
18 20217
19 20210
20
SOME NEWLY RECORDED PLANTS FROM HUNAN PROVINCE OF CHINA(IV)
20021

About Guang‐Wan Hu

Guang‐Wan Hu is a scholar working on Ecology, Evolution, Behavior and Systematics, Forestry, Ecological Modeling, Horticulture and Plant Science, having authored 172 papers that have together received 1.7k indexed citations. Recurring topics across this work include Plant Diversity and Evolution (81 papers), Plant and Fungal Species Descriptions (67 papers), Plant and animal studies (44 papers), Genomics and Phylogenetic Studies (21 papers), African Botany and Ecology Studies (21 papers), Plant Parasitism and Resistance (20 papers), Ethnobotanical and Medicinal Plants Studies (20 papers) and Ecology and Vegetation Dynamics Studies (16 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (656 citations), Forestry (124 citations), Ecological Modeling (106 citations), Pharmacology (145 citations) and Plant Science (609 citations). Guang‐Wan Hu has collaborated with scholars based in China, Kenya and United States. Frequent co-authors include Qingfeng Wang, Jiaxin Yang, Geoffrey Mwachala, Chunlin Long, Yadong Zhou, Xiang Dong, Elijah Mbandi Mkala, Zhizhong Li, Vincent Okelo Wanga and Paul M. Musili. Their work appears in journals such as Phytotaxa, Plants, Journal of Ethnopharmacology, Frontiers in Plant Science and Journal of Systematics and Evolution.

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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