Serena Arima

57 papers receiving 880 citations

Peers

Serena Arima
Comparison fields: 5 of 135
  • Clinical Psychology 179
  • Cognitive Neuroscience 165
  • Psychiatry and Mental health 88
  • Orthopedics and Sports Medicine 43
  • Statistics and Probability 46
Replace Jeffrey N. Jonkman with:
Jeffrey N. Jonkman United States
Erin Mathieu Australia
Martin Ostapczuk Germany
Steven Reader United States
Carol A. Nickerson United States
Susan Parekh United Kingdom
Vicente Núñez‐Antón Spain
Kung-Yee Liang United States
Kurex Sidik United States
Ceyhan Ceran Serdar Türkiye
Serena Arima relative to Jeffrey N. Jonkman United States Jeffrey N. Jonkman's profile →
Citations per field
00.5×8.6×
Jeffrey N. Jonkman · 1×
Citations per year

Countries citing papers authored by Serena Arima

Since Specialization
Citations

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

Fields of papers citing papers by Serena Arima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011161
2 201799
3 201161
4 201860
5 201954
6 201238
7 200936
8 201735
9 201428
10 202027
11 201723
12 202018
13 201218
14 201117
15 202116
16 200214
17 201613
18
High frequency plant regeneration from cotyledon-derived callus of Momordica dioica (Roxb.) Willd.
200013
19 202213
20 201613

About Serena Arima

Serena Arima is a scholar working on Molecular Biology, Sociology and Political Science, Economics and Econometrics, Epidemiology and Statistics and Probability, having authored 62 papers that have together received 928 indexed citations. Recurring topics across this work include Respiratory viral infections research (8 papers), Statistical Methods and Bayesian Inference (8 papers), Plant and Fungal Interactions Research (4 papers), Bayesian Methods and Mixture Models (4 papers), Spatial and Panel Data Analysis (4 papers), Plant tissue culture and regeneration (4 papers), Gender, Labor, and Family Dynamics (3 papers) and Diverse Aspects of Tourism Research (3 papers). The work is most often cited by research in Clinical Psychology (179 citations), Cognitive Neuroscience (165 citations), Psychiatry and Mental health (88 citations), Orthopedics and Sports Medicine (43 citations) and Statistics and Probability (46 citations). Serena Arima has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Stefano Vicari, Lidia D’Elia, Kristin Strauß, Leonardo Fava, Giovanni Valeri, Brunero Liseo, Gauri Sankar Datta, Raffaella Nenna, Fabio Midulla and Antonella Frassanito. Their work appears in journals such as Tourism Economics, Pediatric Pulmonology, The Journal of Infectious Diseases, Statistical Modelling and Industrial and Corporate Change.

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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