Bitna Yi

681 citations
15 papers · 569 · h-index 11

Impact in

Papers in

Bitna Yi

15 papers receiving 554 citations

Peers

Bitna Yi
Comparison fields: 5 of 90
  • Biological Psychiatry 43
  • Neurology 74
  • Health, Toxicology and Mutagenesis 118
  • Aging 11
  • Cellular and Molecular Neuroscience 107
Replace Poonam Goswami with:
Poonam Goswami India
Joanna Rzemieniec Poland
Miguel Chin-Chan Mexico
Brashket Seth India
Vivek Lawana United States
Laura P. Bernard United States
Liping Pei China
Enrique Martínez‐Ballarín Spain
Min-Ju Kim South Korea
Syed Waseem Bihaqi United States
Bitna Yi relative to Poonam Goswami India Poonam Goswami's profile →
Citations per field
00.5×1.5×2.3×
Poonam Goswami · 1×
Citations per year

Countries citing papers authored by Bitna Yi

Since Specialization
Citations

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

Fields of papers citing papers by Bitna Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016101
2 201773
3 201072
4 202060
5 201149
6 201345
7 201743
8 201727
9 201125
10 201322
11 200717
12 201110
13 20129
14 20158
15 20138

About Bitna Yi

Bitna Yi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biological Psychiatry, Health, Toxicology and Mutagenesis and Physiology, having authored 15 papers that have together received 569 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Tryptophan and brain disorders (3 papers), Alzheimer's disease research and treatments (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Biological Psychiatry (43 citations), Neurology (74 citations), Health, Toxicology and Mutagenesis (118 citations), Aging (11 citations) and Cellular and Molecular Neuroscience (107 citations). Bitna Yi has collaborated with scholars based in United States, South Korea and Vietnam. Frequent co-authors include Mihi Yang, Mehrdad Shamloo, Pooneh Memar Ardestani, Andrew K. Evans, Laurence Coutellier, Rachel Lam, Chenglong Li, Ryan E. Pavlovicz, Dennis B. McKay and Ho‐Sun Lee. Their work appears in journals such as Journal of Environmental Science and Health Part C, PLoS ONE, Journal of Natural Products, ACS Chemical Neuroscience and Bioorganic & Medicinal Chemistry.

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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