Chia‐Ni Lin

780 citations
38 papers · 619 · h-index 15

Impact in

Papers in

Chia‐Ni Lin

38 papers receiving 608 citations

Peers

Chia‐Ni Lin
Comparison fields: 5 of 101
  • Nephrology 90
  • Biological Psychiatry 27
  • Clinical Biochemistry 44
  • Physiology 85
  • Nutrition and Dietetics 46
Replace Fatma Hümeyra Yerlikaya with:
Fatma Hümeyra Yerlikaya Türkiye
Wiesława Łysiak−Szydłowska Poland
Remzi Yılmaz Türkiye
Musa Bali Türkiye
Oya Bayındır Türkiye
Nur Samsu Indonesia
Gareth K. Davies United Kingdom
Maimaiti Yisireyili Japan
Beata Krasińska Poland
Junko Tatebe Japan
Chia‐Ni Lin relative to Fatma Hümeyra Yerlikaya Türkiye Fatma Hümeyra Yerlikaya's profile →
Citations per field
00.5×2×2.8×
Fatma Hümeyra Yerlikaya · 1×
Citations per year

Countries citing papers authored by Chia‐Ni Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ni Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200687
2 201158
3 201852
4 201943
5 201943
6 201742
7 201924
8 201222
9 201919
10 202119
11 201619
12 202118
13 201817
14 201916
15 202115
16 202015
17 202113
18 201212
19 20178
20 20167

About Chia‐Ni Lin

Chia‐Ni Lin is a scholar working on Nephrology, Psychiatry and Mental health, Toxicology, Molecular Biology and Neurology, having authored 38 papers that have together received 619 indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (5 papers), Dialysis and Renal Disease Management (3 papers), Epilepsy research and treatment (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Methemoglobinemia and Tumor Lysis Syndrome (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Nephrology (90 citations), Biological Psychiatry (27 citations), Clinical Biochemistry (44 citations), Physiology (85 citations) and Nutrition and Dietetics (46 citations). Chia‐Ni Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hung‐Chou Kuo, Gwendolyn A. McMillin, Daniel Chiu, William L. Roberts, Yu‐Ting Huang, Hsuan-Ting Huang, Yur‐Ren Kuo, Yan Sun, Szu‐Tah Chen and Andrew R. Wilson. Their work appears in journals such as Cells, Clinica Chimica Acta, Journal of Diabetes Investigation, Journal of Food and Drug Analysis and PLoS ONE.

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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