P. Daniel

32 papers receiving 353 citations

Peers

P. Daniel
Comparison fields: 5 of 42
  • Immunology 149
  • Ecology, Evolution, Behavior and Systematics 60
  • Epidemiology 99
  • Applied Microbiology and Biotechnology 6
  • Agronomy and Crop Science 15
Replace Lynn H. Creekmore with:
Lynn H. Creekmore United States
Saliha Hammoumi France
Daniel Alfonso Estrada-Bárcenas Mexico
Roberto Navarro‐López United States
Hongbin Wang China
Clement Isaac Nigeria
Juliane Schatz Germany
M. Trávníček Slovakia
Erdene-Ochir Tseren-Ochir South Korea
W. T. K. Hall Australia
P. Daniel relative to Lynn H. Creekmore United States Lynn H. Creekmore's profile →
Citations per field
00.5×2×4×6×7.8×
Lynn H. Creekmore · 1×
Citations per year

Countries citing papers authored by P. Daniel

Since Specialization
Citations

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

Fields of papers citing papers by P. Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201858
2 201749
3 201440
4 201634
5 201122
6 202121
7 199918
8 201518
9 200217
10 201815
11 202013
12 201210
13 20099
14 20168
15 20035
16 20095
17 20125
18 20185
19 20104
20 19913

About P. Daniel

P. Daniel is a scholar working on Ecology, Evolution, Behavior and Systematics, Immunology, Plant Science, Molecular Biology and Epidemiology, having authored 44 papers that have together received 383 indexed citations. Recurring topics across this work include Bryophyte Studies and Records (18 papers), Plant and Fungal Species Descriptions (10 papers), Aquaculture disease management and microbiota (8 papers), Influenza Virus Research Studies (4 papers), Plant Diversity and Evolution (4 papers), Linguistic and Cultural Studies (4 papers), Botany and Plant Ecology Studies (3 papers) and Parasite Biology and Host Interactions (2 papers). The work is most often cited by research in Immunology (149 citations), Ecology, Evolution, Behavior and Systematics (60 citations), Epidemiology (99 citations), Applied Microbiology and Biotechnology (6 citations) and Agronomy and Crop Science (15 citations). P. Daniel has collaborated with scholars based in India, France and United States. Frequent co-authors include Ségolène Calvez, Audrey Schmitz, Éric Niqueux, Sophie Le Bouquin, Richard Thiéry, Michel Le Hénaff, M. Vigneulle, Laurent Bigarré, Stéfan Chilmonczyk and Valérie Chesneau. Their work appears in journals such as Taxon, Journal of Fish Diseases, Journal of Bryology, Diseases of Aquatic Organisms and Applied and Environmental Microbiology.

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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