Nicky Phillips

755 citations
31 papers · 464 · 1 hit paper · h-index 8

Impact in

Papers in

Nicky Phillips

29 papers receiving 439 citations

Nicky Phillips's Hit Papers

The coronavirus is here to stay — here’s what that means 2021 · 294 citations
2940+1+3Years since publication50100150200250

Peers

Nicky Phillips
Comparison fields: 5 of 127
  • Modeling and Simulation 59
  • Infectious Diseases 115
  • Health 46
  • Global and Planetary Change 53
  • Health Informatics 3
Replace Alessandro Rovetta with:
Alessandro Rovetta Italy
Ognjen Milićević Serbia
David Manheim Israel
Crystal Watson United States
Ajlina Karamehić-Muratović United States
Kui Liu China
Marian-Gabriel Hâncean Romania
Mia Moore United States
Xiaoyu Zhou China
Peter Clevestig Sweden
Nicky Phillips relative to Alessandro Rovetta Italy Alessandro Rovetta's profile →
Citations per field
00.5×10×16×
Alessandro Rovetta · 1×
Citations per year

Countries citing papers authored by Nicky Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Nicky Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Nicky Phillips, 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 Nicky Phillips Line = papers co-authored together Nicky Phillips links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The coronavirus is here to stay — here’s what that means
Hit paper breakdown →
2021294
2 202036
3 202021
4 202017
5 201712
6 201710
7 198110
8 20177
9 20176
10 20166
11 20176
12 20225
13 20175
14 20203
15 19943
16 20173
17 20202
18 20182
19 20162
20 20152

About Nicky Phillips

Nicky Phillips is a scholar working on Global and Planetary Change, Ecology, Reproductive Medicine, Infectious Diseases and Communication, having authored 31 papers that have together received 464 indexed citations. Recurring topics across this work include Climate variability and models (2 papers), Science, Research, and Medicine (2 papers), Intellectual Property and Patents (1 paper), Botany and Plant Ecology Studies (1 paper), Academic integrity and plagiarism (1 paper), Atmospheric and Environmental Gas Dynamics (1 paper), Autopsy Techniques and Outcomes (1 paper) and Bird parasitology and diseases (1 paper). The work is most often cited by research in Modeling and Simulation (59 citations), Infectious Diseases (115 citations), Health (46 citations), Global and Planetary Change (53 citations) and Health Informatics (3 citations). Nicky Phillips has collaborated with scholars based in Denmark, United Kingdom and Latvia. Frequent co-authors include Bianca Nogrady, David Cyranoski, Smriti Mallapaty, Alexandra Witze, S. Navrátil, Ewen Callaway, Sara Reardon, Davide Castelvecchi, Alison Abbott and Emiliano Rodríguez Mega. Their work appears in journals such as Nature, The Forestry Chronicle, Ringing & Migration and Mental Health Review Journal.

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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