Sheng‐Fung Lin

1.6k citations
44 papers · 1.3k indexed · h-index 21
    • Circadian rhythm and melatonin 9
  • Aging top 2%
  • Hematology top 5%
    • Acute Myeloid Leukemia Research 7
    • Iron Metabolism and Disorders 4
    • Chronic Myeloid Leukemia Treatments 4
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders 6
    • Chronic Lymphocytic Leukemia Research 3
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology 3
    • Spaceflight effects on biology 3

Sheng‐Fung Lin

44 papers receiving 1.3k citations

Peers

Sheng‐Fung Lin
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 493
  • Aging 116
  • Hematology 248
  • Genetics 197
  • Physiology 279
Replace Mirko Pinotti with:
Mirko Pinotti Italy
Cindy Wang United States
Shenghan Chen China
Peter C. Reifsnyder United States
D B Thompson United States
Elke Neumann‐Haefelin Germany
Patrick W. Kleyn United States
Emanuela Mensa’ Italy
Gabriella Fóris Hungary
Sheng‐Fung Lin relative to Mirko Pinotti Italy Mirko Pinotti's profile →
Citations per field
00.5×5.3×
Mirko Pinotti · 1×
Citations per year

Countries citing papers authored by Sheng‐Fung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Fung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20174
2
Up-regulation of PER3 Expression Is Correlated with Better Clinical Outcome in Acute Leukemia.
201522
3 201338
4 201217
5 201113
6 20095
7 200734
8 2006103
9 20063
10 200537
11 20052
12 200513
13 200410
14 200369
15 200217
16 200221
17 199720
18 199422
19 199422
20 19926

About Sheng‐Fung Lin

Sheng‐Fung Lin is a scholar working on Hematology, Endocrine and Autonomic Systems and Genetics, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (9 papers), Acute Myeloid Leukemia Research (7 papers), Hemoglobinopathies and Related Disorders (6 papers), Iron Metabolism and Disorders (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Spaceflight effects on biology (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (493 citations), Aging (116 citations) and Hematology (248 citations). Sheng‐Fung Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ming‐Yu Yang, Jan‐Gowth Chang, Pai‐Mei Lin, Ta‐Chih Liu, Ta‐Chih Liu, Yi‐Chang Liu, Hui‐Hua Hsiao, Tyen‐Po Chen, Kun‐Tu Yeh and Cheng‐Ming Hsu. Their work appears in journals such as Journal of Clinical Oncology, Blood and The Journal of Pathology.

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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