Shiva Devkota

24 papers receiving 349 citations

Peers

Shiva Devkota
Comparison fields: 5 of 66
  • Ecological Modeling 43
  • Ecology, Evolution, Behavior and Systematics 137
  • Pharmacology 118
  • Plant Science 196
  • Nature and Landscape Conservation 50
Replace Shreekar Pant with:
Shreekar Pant India
Ronell R. Klopper South Africa
Götz Palfner Chile
Martina Oberhofer Austria
Prem Lal Uniyal India
Susana C. Gonçalves Portugal
Soledad Molares Argentina
Zhiling Dao China
Yagya P. Adhikari Germany
Brian P. Looney United States
Shiva Devkota relative to Shreekar Pant India Shreekar Pant's profile →
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Citations per year

Countries citing papers authored by Shiva Devkota

Since Specialization
Citations

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

Fields of papers citing papers by Shiva Devkota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200857
2 201651
3 201745
4 197042
5 202130
6 200625
7 201516
8 201415
9 200915
10 202313
11 201910
12 201710
13 20078
14
The mammalian fauna from the Central Himalaya, Nepal
20137
15 20197
16 20176
17 19705
18 20164
19 20253
20 20252

About Shiva Devkota

Shiva Devkota is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Pharmacology, Insect Science and Ecological Modeling, having authored 24 papers that have together received 376 indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (12 papers), Lichen and fungal ecology (10 papers), Fungal Biology and Applications (8 papers), Species Distribution and Climate Change (4 papers), Botany and Plant Ecology Studies (4 papers), Wildlife Ecology and Conservation (3 papers), Forest Ecology and Biodiversity Studies (3 papers) and Ecology and Vegetation Dynamics Studies (3 papers). The work is most often cited by research in Ecological Modeling (43 citations), Ecology, Evolution, Behavior and Systematics (137 citations), Pharmacology (118 citations), Plant Science (196 citations) and Nature and Landscape Conservation (50 citations). Shiva Devkota has collaborated with scholars based in Nepal, Switzerland and United States. Frequent co-authors include Christoph Scheidegger, Silke Werth, Ram Prasad Chaudhary, Morten Christensen, Helle Overgaard Larsen, Li‐Song Wang, Michael P. Nobis, Meixia Yang, Hem Bahadur Katuwal and Khadga Basnet. Their work appears in journals such as Mycology: An International Journal on Fungal Biology, Biodiversity and Conservation, Diversity, Journal of Ethnobiology and Ethnomedicine and Economic Botany.

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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