Ping‐I Lin

79 papers receiving 2.4k citations

Peers

Ping‐I Lin
Comparison fields: 5 of 160
  • Behavioral Neuroscience 224
  • Biological Psychiatry 117
  • Psychiatry and Mental health 364
  • Endocrine and Autonomic Systems 113
  • Genetics 416
Replace Flavia Magri with:
Flavia Magri Italy
Arieh S. Cohen Denmark
Elisabet Stener‐Victorin Sweden
Rachel S. Gross United States
Marilyn C. Cornelis United States
D.A. Janneke Dijck‐Brouwer Netherlands
Renato Polimanti United States
Agneta Holmäng Sweden
Panagiota Pervanidou Greece
Zezhi Li China
Ping‐I Lin relative to Flavia Magri Italy Flavia Magri's profile →
Citations per field
00.5×1.5×
Flavia Magri · 1×
Citations per year

Countries citing papers authored by Ping‐I Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ping‐I Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping‐I Lin. 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 Ping‐I Lin. The network helps show where Ping‐I Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007364
2 2006224
3 2006171
4 2006130
5 2019124
6 2005120
7 201096
8 200690
9 201685
10 200773
11 200573
12 201761
13 202152
14 200452
15 200551
16 201841
17 201837
18 200537
19 200434
20 201532

About Ping‐I Lin

Ping‐I Lin is a scholar working on Clinical Psychology, Psychiatry and Mental health, Cognitive Neuroscience, Behavioral Neuroscience and Biological Psychiatry, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (18 papers), Suicide and Self-Harm Studies (11 papers), Genetics and Neurodevelopmental Disorders (11 papers), Child and Adolescent Psychosocial and Emotional Development (8 papers), Child Nutrition and Feeding Issues (7 papers), Genetic Associations and Epidemiology (5 papers), Virology and Viral Diseases (5 papers) and COVID-19 and Mental Health (5 papers). The work is most often cited by research in Behavioral Neuroscience (224 citations), Biological Psychiatry (117 citations), Psychiatry and Mental health (364 citations), Endocrine and Autonomic Systems (113 citations) and Genetics (416 citations). Ping‐I Lin has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Eden R. Martin, Jeffery M. Vance, Margaret A. Pericak‐Vance, Magdalena Uhart, Gary S. Wand, Rachel Y. Chong, Lynn M. Oswald, Alan R. Shuldiner, Carl‐Gustaf Bornehag and Christian Lindh. Their work appears in journals such as Psychiatry Research, Scientific Reports, The American Journal of Human Genetics, Frontiers in Psychiatry and Journal of Affective Disorders.

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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