Shiva Devkota

22 papers receiving 380 citations

Peers

Shiva Devkota
Comparison fields: 5 of 65
  • Ecological Modeling 45
  • Pharmacology 126
  • Ecology, Evolution, Behavior and Systematics 149
  • Plant Science 203
  • Nature and Landscape Conservation 50
Replace Jérôme Degreef with:
Jérôme Degreef Belgium
Ronell R. Klopper South Africa
Shreekar Pant India
Krishna K. Shrestha Nepal
Patrick R. Leacock United States
Yagya P. Adhikari Germany
Götz Palfner Chile
S. A. Chaudhary Saudi Arabia
M. P. Nayar India
J.J.A. van der Walt South Africa
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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 22 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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200864
2 201651
3 201751
4 197045
5 202132
6 200628
7 200918
8 201417
9 201517
10 202314
11 201714
12 201913
13 200710
14
The mammalian fauna from the Central Himalaya, Nepal
20139
15 20197
16 20176
17 19705
18 20164
19 20253
20 19701

About Shiva Devkota

Shiva Devkota is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Pharmacology, Ecological Modeling and Insect Science, having authored 22 papers that have together received 411 indexed citations. Recurring topics across this work include Lichen and fungal ecology (10 papers), Mycorrhizal Fungi and Plant Interactions (10 papers), Fungal Biology and Applications (7 papers), Species Distribution and Climate Change (4 papers), Forest Ecology and Biodiversity Studies (3 papers), Wildlife Ecology and Conservation (3 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Botany and Plant Ecology Studies (2 papers). The work is most often cited by research in Ecological Modeling (45 citations), Pharmacology (126 citations), Ecology, Evolution, Behavior and Systematics (149 citations), Plant Science (203 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, Michael P. Nobis, Hem Bahadur Katuwal, Khadga Basnet, Li‐Song Wang and Carolina Cornejo. Their work appears in journals such as Mycology: An International Journal on Fungal Biology, Applications in Plant Sciences, Journal of Ethnobiology and Ethnomedicine, Journal of Zoology and Mycosphere.

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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