Pei‐Ling Lin

39 papers receiving 874 citations

Peers

Pei‐Ling Lin
Comparison fields: 5 of 95
  • Geriatrics and Gerontology 186
  • Cellular and Molecular Neuroscience 380
  • Insect Science 166
  • Aging 21
  • Biomaterials 101
Replace Chinatsu Mukai with:
Chinatsu Mukai United States
Ken M. Brown United States
Lisa Sharling United States
Meichun Deng China
Penn Whitley United States
Xin Wen China
Sarah DeWeerdt United States
Bruce C. Black United States
Ikuko Nakamura Japan
Pei‐Ling Lin relative to Chinatsu Mukai United States Chinatsu Mukai's profile →
Citations per field
00.5×10×20×30×37.2×
Chinatsu Mukai · 1×
Citations per year

Countries citing papers authored by Pei‐Ling Lin

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Ling Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015200
2 201684
3 201167
4 200866
5 201160
6 200938
7 201733
8 200932
9 200928
10 201425
11 201123
12 201920
13 201617
14 201317
15 202116
16 201415
17 199915
18 201713
19 201412
20 201610

About Pei‐Ling Lin

Pei‐Ling Lin is a scholar working on Cellular and Molecular Neuroscience, Immunology, Biomaterials, Molecular Biology and Insect Science, having authored 44 papers that have together received 887 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (25 papers), Invertebrate Immune Response Mechanisms (12 papers), Silk-based biomaterials and applications (10 papers), Insect Utilization and Effects (8 papers), Physiological and biochemical adaptations (6 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Geriatrics and Gerontology (186 citations), Cellular and Molecular Neuroscience (380 citations), Insect Science (166 citations), Aging (21 citations) and Biomaterials (101 citations). Pei‐Ling Lin has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Shu‐Fang Chang, Shi‐Hong Gu, Shun-Chieh Young, Chien‐Hung Chen, Chien‐Hung Chen, Hsiao‐Yen Hsieh, Sheng Li, Wei‐Lan Yeh, Chih-Hung Yen and Tsung-Han Tsai. Their work appears in journals such as Journal of Insect Physiology, Insect Biochemistry and Molecular Biology, Worldviews on Evidence-Based Nursing, Journal of Experimental Zoology Part A Ecological and Integrative Physiology and General and Comparative Endocrinology.

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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