Petri Urvil

1.9k citations
20 papers · 1.4k indexed · 1 hit paper · h-index 16
Topics
Escherichia coli research studies (5 papers)RNA and protein synthesis mechanisms (4 papers)Urinary Tract Infections Management (3 papers)
Partner nations
United StatesFranceJapan

In The Last Decade

Petri Urvil

20 papers receiving 1.4k citations

Hit Papers

Regulation of protein-ligand binding affinity by hydrogen...20162026201920222016200400600

Peers

Petri Urvil
Comparison fields: 5 of 112
  • Molecular Biology 650
  • Infectious Diseases 197
  • Endocrinology 195
  • Computational Theory and Mathematics 193
  • Epidemiology 185
Replace Athar Alam with:
Athar Alam India
Geoffrey Warhurst United Kingdom
Lucia Nencioni Italy
Lixia Wang China
Maria Zimmermann‐Kogadeeva Switzerland
Xia Wu China
Anja Telzerow Germany
Urmi Roy United States
Mary K. Gentry United States
Petri Urvil relative to Athar Alam India Athar Alam's profile →
Citations per field
00.5×4.6×
Athar Alam · 1×
Citations per year

Countries citing papers authored by Petri Urvil

Since Specialization
Citations

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

Fields of papers citing papers by Petri Urvil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petri Urvil

This figure shows the co-authorship network connecting the top 25 collaborators of Petri Urvil. A scholar is included among the top collaborators of Petri Urvil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Petri Urvil. Petri Urvil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 63
2
Regulation of protein-ligand binding affinity by hydrogen bond pairingbreakdown →
639
3 12
4 10
5 11
6 3
7 76
8 117
9 36
10 20
11 50
12 100
13 16
14 31
15 44
16 24
17 45
18 82
19 45
20 23

About Petri Urvil

Petri Urvil is a scholar working on Endocrinology, Virology and Hepatology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), RNA and protein synthesis mechanisms (4 papers) and Urinary Tract Infections Management (3 papers). The work is most often cited by research in Endocrinology (195 citations), Gastroenterology (91 citations) and Computational Theory and Mathematics (193 citations). Petri Urvil has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Tor Savidge, Numan Oezguen, Sara M. Dann, Colin G. Ferguson, Deliang Chen, Penmetcha K. R. Kumar, Satoshi Nishikawa, B. Nowicki, Kunitada Shimotohno and Nobuko Kakiuchi. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Molecular Cell.

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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