Laxman Khanal
- Ecology top 10%
- Ecological Modeling top 5%
- Public Health, Environmental and Occupational Health
- Nature and Landscape Conservation top 10%
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Mukesh Kumar ChaliseXuelong JiangBipin Kumar AcharyaXueyou LiChunxiang CaoShahid NaeemCheng HuangMin Xu
- Topics
- Species Distribution and Climate Change (16 papers)Wildlife Ecology and Conservation (13 papers)Primate Behavior and Ecology (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- NepalChinaUnited States
In The Last Decade
Laxman Khanal
48 papers receiving 348 citations
Peers
Comparison fields: 5 of 68
- Ecology 166
- Ecological Modeling 121
- Public Health, Environmental and Occupational Health 73
- Nature and Landscape Conservation 67
- Ecology, Evolution, Behavior and Systematics 50
Countries citing papers authored by Laxman Khanal
This map shows the geographic impact of Laxman Khanal'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 Laxman Khanal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laxman Khanal more than expected).
Fields of papers citing papers by Laxman Khanal
This network shows the impact of papers produced by Laxman Khanal. 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 Laxman Khanal. The network helps show where Laxman Khanal may publish in the future.
Co-authorship network of co-authors of Laxman Khanal
This figure shows the co-authorship network connecting the top 25 collaborators of Laxman Khanal. A scholar is included among the top collaborators of Laxman Khanal 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 Laxman Khanal. Laxman Khanal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 23 | |
| 18 | Avian Diversity in Kaligandaki River Basin, Annapurna Conservation Area, Nepal | 7 |
| 19 | 5 | |
| 20 | 20 |
About Laxman Khanal
Laxman Khanal is a scholar working on Ecological Modeling, Developmental Biology and Nature and Landscape Conservation, having authored 60 papers that have together received 350 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (16 papers), Wildlife Ecology and Conservation (13 papers) and Primate Behavior and Ecology (13 papers). The work is most often cited by research in Ecological Modeling (121 citations), Developmental Biology (17 citations) and Ecology (166 citations). Laxman Khanal has collaborated with scholars based in Nepal, China and United States. Frequent co-authors include Mukesh Kumar Chalise, Xuelong Jiang, Bipin Kumar Acharya, Xueyou Li, Chunxiang Cao, Shahid Naeem, Cheng Huang, Min Xu, Xuelong Jiang and Randall C. Kyes. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.