David Arora

791 citations
26 papers · 544 · h-index 12

Impact in

Papers in

David Arora

26 papers receiving 510 citations

Peers

David Arora
Comparison fields: 5 of 64
  • Pharmacology 204
  • Cell Biology 164
  • Plant Science 380
  • Ecology, Evolution, Behavior and Systematics 167
  • Insect Science 76
Replace Carolina Barroetaveña with:
Carolina Barroetaveña Argentina
Donatha D. Tibuhwa Tanzania
Marco Contu Italy
Götz Palfner Chile
Alejandro Kong Mexico
D. E. Stuntz United States
Shiva Devkota Nepal
Adriana Montoya Mexico
Kevin D. Hyde Thailand
N.A. Onguene Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by David Arora

Since Specialization
Citations

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

Fields of papers citing papers by David Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980156
2 200843
3 201239
4 200839
5 200839
6 201535
7 200828
8 201427
9 200825
10 200824
11 200824
12 200118
13 201411
14 20087
15
Antimicrobial activity of some medicinal plants
20136
16 20094
17 19824
18 20143
19 20083
20 20142

About David Arora

David Arora is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Cell Biology, Molecular Biology and Insect Science, having authored 26 papers that have together received 544 indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (9 papers), Plant Pathogens and Fungal Diseases (7 papers), Forest Ecology and Biodiversity Studies (4 papers), Yeasts and Rust Fungi Studies (3 papers), Lichen and fungal ecology (2 papers), Bryophyte Studies and Records (2 papers), Plant and Fungal Species Descriptions (2 papers) and Phytochemistry and Bioactivity Studies (2 papers). The work is most often cited by research in Pharmacology (204 citations), Cell Biology (164 citations), Plant Science (380 citations), Ecology, Evolution, Behavior and Systematics (167 citations) and Insect Science (76 citations). David Arora has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include H Thiers, Glenn H. Shepard, Jonathan L. Frank, James M. Trappe, Susie Dunham, Kasem Soytong, Roy E. Halling, Nigel Fechner, Andrew W. Claridge and W. A. Smit. Their work appears in journals such as Economic Botany, Mycologia, Australian Systematic Botany, International Journal on Environmental Sciences and Cambridge University Press eBooks.

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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