Pitna Kim

25 papers receiving 1.2k citations

Peers

Pitna Kim
Comparison fields: 5 of 95
  • Developmental Neuroscience 90
  • Cognitive Neuroscience 414
  • Biological Psychiatry 47
  • Pediatrics, Perinatology and Child Health 245
  • Genetics 314
Replace Victorio Bambini-Júnior with:
Victorio Bambini-Júnior Brazil
Edson Luck Gonzales South Korea
Diana C. Ferrari France
Fumiyuki Hatanaka Japan
Usha Rajamma India
Mee Jung Ko South Korea
Susana Mato Spain
Bihua Bie United States
Noemı́ Rueda Spain
Qi‐Xin Zhou China
Pitna Kim relative to Victorio Bambini-Júnior Brazil Victorio Bambini-Júnior's profile →
Citations per field
00.5×1.5×2.1×
Victorio Bambini-Júnior · 1×
Citations per year

Countries citing papers authored by Pitna Kim

Since Specialization
Citations

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

Fields of papers citing papers by Pitna Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010232
2 2013214
3 2013179
4 2013111
5 201484
6 201158
7 201358
8 201246
9 200838
10 201936
11 201534
12 201828
13 201026
14 201220
15 201916
16 201313
17 202413
18 201211
19 20106
20 20195

About Pitna Kim

Pitna Kim is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics, Cell Biology and Cognitive Neuroscience, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Ginseng Biological Effects and Applications (5 papers), Prenatal Substance Exposure Effects (4 papers), Autism Spectrum Disorder Research (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Attention Deficit Hyperactivity Disorder (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Developmental Neuroscience (90 citations), Cognitive Neuroscience (414 citations), Biological Psychiatry (47 citations), Pediatrics, Perinatology and Child Health (245 citations) and Genetics (314 citations). Pitna Kim has collaborated with scholars based in South Korea, United States and Thailand. Frequent co-authors include Chan Young Shin, Ki Chan Kim, Chang Soon Choi, Hee Jin Kim, Hyo Sang Go, Jae Hoon Cheong, Kwang Ho Ko, Seol‐Heui Han, Se Jin Jeon and Jin Hee Park. Their work appears in journals such as Biomolecules & Therapeutics, Journal of Ginseng Research, Translational Psychiatry, Food and Chemical Toxicology and Journal of Biomedical Science.

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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