Hum Kala Rana
- Ecological Modeling top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Nature and Landscape Conservation top 10%
- Plant Science
- Molecular Biology
- Co-authors
- Santosh Kumar RanaHang SunSailesh RanjitkarSuresh Kumar GhimireDong LuoKrishna K. ShresthaDipesh PyakurelJürg Stöcklin
- Topics
- Species Distribution and Climate Change (8 papers)Ecology and Vegetation Dynamics Studies (5 papers)Genetic diversity and population structure (5 papers)
- Cited by
- Ecological ModelingNature and Landscape ConservationEcology, Evolution, Behavior and Systematics
- Partner nations
- ChinaNepalUnited States
In The Last Decade
Hum Kala Rana
16 papers receiving 317 citations
Peers
Comparison fields: 5 of 53
- Ecological Modeling 151
- Ecology, Evolution, Behavior and Systematics 132
- Nature and Landscape Conservation 98
- Plant Science 78
- Molecular Biology 71
Countries citing papers authored by Hum Kala Rana
This map shows the geographic impact of Hum Kala Rana'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 Hum Kala Rana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hum Kala Rana more than expected).
Fields of papers citing papers by Hum Kala Rana
This network shows the impact of papers produced by Hum Kala Rana. 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 Hum Kala Rana. The network helps show where Hum Kala Rana may publish in the future.
Co-authorship network of co-authors of Hum Kala Rana
This figure shows the co-authorship network connecting the top 25 collaborators of Hum Kala Rana. A scholar is included among the top collaborators of Hum Kala Rana 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 Hum Kala Rana. Hum Kala Rana 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 | 7 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 25 | |
| 8 | 37 | |
| 9 | 12 | |
| 10 | 62 | |
| 11 | 25 | |
| 12 | 3 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 64 | |
| 16 | 1 | |
| 17 | 28 |
About Hum Kala Rana
Hum Kala Rana is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 318 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (8 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Genetic diversity and population structure (5 papers). The work is most often cited by research in Ecological Modeling (151 citations), Nature and Landscape Conservation (98 citations) and Ecology, Evolution, Behavior and Systematics (132 citations). Hum Kala Rana has collaborated with scholars based in China, Nepal and United States. Frequent co-authors include Santosh Kumar Rana, Hang Sun, Sailesh Ranjitkar, Suresh Kumar Ghimire, Dong Luo, Krishna K. Shrestha, Dipesh Pyakurel, Jürg Stöcklin, Bo Song and Shaotian Chen. Their work appears in journals such as Frontiers in Plant Science, Ecological Indicators and Diversity and Distributions.
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.