F K Lin

2.0k citations
11 papers · 1.5k · 1 hit paper · h-index 9

Impact in

  • Hematology top 1%
    • Erythropoietin and Anemia Treatment
    • Iron Metabolism and Disorders
    • Blood transfusion and management

Papers in

    • Erythropoietin and Anemia Treatment 6
    • Iron Metabolism and Disorders 2
    • Erythrocyte Function and Pathophysiology 3

F K Lin

11 papers receiving 1.4k citations

F K Lin's Hit Papers

Cloning and expression of the human erythropoietin gene. 1985 · 930 citations
9300+13+27Years since publication250500750

Peers

F K Lin
Comparison fields: 5 of 94
  • Hematology 1.1k
  • Biochemistry 153
  • Genetics 238
  • Nephrology 130
  • Physiology 354
Replace Magdalena L. Plasilova with:
Magdalena L. Plasilova United States
Lothar Wieczorek Germany
Seiichiro Tarui Japan
Barbra Johnson Sasu United States
Anja Vales Austria
Alexander Nakeff United States
Alexey V. Mazurov Russia
Lia Guidotti Italy
Sujun Gao China
Marie‐Françoise Bourgeade France
F K Lin relative to Magdalena L. Plasilova United States Magdalena L. Plasilova's profile →
Citations per field
00.5×2×4×6×8.6×
Magdalena L. Plasilova · 1×
Citations per year

Countries citing papers authored by F K Lin

Since Specialization
Citations

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

Fields of papers citing papers by F K Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F K 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 F K Lin. The network helps show where F K Lin may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Cloning and expression of the human erythropoietin gene.
Hit paper breakdown →
1985930
2 1986201
3 1986137
4 198699
5 200545
6 198938
7 199223
8 199123
9 19719
10 19744
11 20031

About F K Lin

F K Lin is a scholar working on Hematology, Physiology, Plant Science, Biochemistry and Molecular Biology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (6 papers), Erythrocyte Function and Pathophysiology (3 papers), CRISPR and Genetic Engineering (2 papers), Plant Disease Resistance and Genetics (2 papers), Iron Metabolism and Disorders (2 papers), 3D Printing in Biomedical Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Hematology (1.1k citations), Biochemistry (153 citations), Genetics (238 citations), Nephrology (130 citations) and Physiology (354 citations). F K Lin has collaborated with scholars based in United States, Taiwan and Norway. Frequent co-authors include Jeffrey K. Browne, Ralph Smalling, Joan C. Egrie, Sidney V. Suggs, Chih-Wei Lin, Gary M. Fox, K K Chen, Frank H. Martin, J. Douglas McDonald and Eugene Goldwasser. Their work appears in journals such as Proceedings of the National Academy of Sciences, Phytopathology, Molecular and Cellular Biology, Immunobiology and Journal of Biological Chemistry.

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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