Hsin‐Yi Lo

1.5k citations
44 papers · 1.3k indexed · h-index 23

Impact in

Papers in

Hsin‐Yi Lo

43 papers receiving 1.2k citations

Peers

Hsin‐Yi Lo
Comparison fields: 5 of 121
  • Neuropsychology and Physiological Psychology 48
  • Pharmacology 195
  • Health 160
  • Complementary and alternative medicine 135
  • Biotechnology 91
Replace Shahar Lev‐Ari with:
Shahar Lev‐Ari Israel
Martin Vališ Czechia
Shiyuan Wang China
Eunkyung Kim South Korea
Lucía Gimeno-Mallench Spain
Sebely Pal Australia
Dimitris Tsoukalas Greece
Kathleen C. Brown United States
Qingchun Zhao China
Heejin Jun South Korea
Hsin‐Yi Lo relative to Shahar Lev‐Ari Israel Shahar Lev‐Ari's profile →
Citations per field
00.5×8.3×
Shahar Lev‐Ari · 1×
Citations per year

Countries citing papers authored by Hsin‐Yi Lo

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Yi Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202311
4 20238
5 202011
6 20196
7 201925
8 20175
9 201637
10 201634
11 201355
12 201243
13 201280
14 201217
15 201040
16 200818
17 200729
18 200434
19 2001162
20 200017

About Hsin‐Yi Lo

Hsin‐Yi Lo is a scholar working on Pharmacology, Complementary and alternative medicine, Neuropsychology and Physiological Psychology, Biotechnology and Immunology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (6 papers), Psoriasis: Treatment and Pathogenesis (5 papers), Pharmacological Effects of Natural Compounds (5 papers), Biochemical and Structural Characterization (5 papers), Traditional Chinese Medicine Analysis (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Transgenic Plants and Applications (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (48 citations), Pharmacology (195 citations), Health (160 citations), Complementary and alternative medicine (135 citations) and Biotechnology (91 citations). Hsin‐Yi Lo has collaborated with scholars based in Taiwan, United Kingdom and Armenia. Frequent co-authors include Chien‐Yun Hsiang, Tin‐Yun Ho, Chia‐Cheng Li, Shih‐Lu Wu, Jaw‐Chyun Chen, Hin‐Yeung Tsang, Tze‐Chun Tang, Yi‐Hui Lee, Tzung‐Lieh Yeh and Mian‐Yoon Chong. Their work appears in journals such as Journal of Ethnopharmacology, Journal of Agricultural and Food Chemistry, Food & Function, Food Chemistry and Food and Chemical Toxicology.

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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