Chia‐Ni Lin

738 citations
37 papers · 539 · h-index 13

Impact in

Papers in

Chia‐Ni Lin

36 papers receiving 530 citations

Peers

Chia‐Ni Lin
Comparison fields: 5 of 99
  • Nephrology 95
  • Biological Psychiatry 31
  • Clinical Biochemistry 54
  • Physiology 103
  • Nutrition and Dietetics 56
Replace Fatma Hümeyra Yerlikaya with:
Fatma Hümeyra Yerlikaya Türkiye
Maryam Malek Iran
Wiesława Łysiak−Szydłowska Poland
David Legouis Switzerland
Gareth Davies United Kingdom
Musa Bali Türkiye
Leszek Dobrowolski Poland
Sedat Abuşoğlu Türkiye
Oya Bayındır Türkiye
I. Mutaf Türkiye
Chia‐Ni Lin relative to Fatma Hümeyra Yerlikaya Türkiye Fatma Hümeyra Yerlikaya's profile →
Citations per field
00.5×1.5×
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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200688
2 201153
3 201850
4 201742
5 201940
6 201938
7 201917
8 201917
9 201617
10 201817
11 201915
12 202115
13 202113
14 202012
15 202112
16 201211
17 20219
18 20179
19 20217
20 20227

About Chia‐Ni Lin

Chia‐Ni Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Nephrology, Pediatrics, Perinatology and Child Health and Physiology, having authored 37 papers that have together received 539 indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (5 papers), Porphyrin Metabolism and Disorders (5 papers), Pharmacological Effects and Toxicity Studies (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Methemoglobinemia and Tumor Lysis Syndrome (4 papers), Dialysis and Renal Disease Management (4 papers), Pain Mechanisms and Treatments (3 papers) and Forensic Toxicology and Drug Analysis (3 papers). The work is most often cited by research in Nephrology (95 citations), Biological Psychiatry (31 citations), Clinical Biochemistry (54 citations), Physiology (103 citations) and Nutrition and Dietetics (56 citations). Chia‐Ni Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Hung‐Chou Kuo, Daniel Chiu, Hsuan-Ting Huang, Yur‐Ren Kuo, Gwendolyn A. McMillin, Yu‐Ting Huang, Yan Sun, Szu‐Tah Chen, William L. Roberts and Andrew Wilson. Their work appears in journals such as Cells, Journal of Diabetes Investigation, Journal of Food and Drug Analysis, PLoS ONE and Clinica Chimica Acta.

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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