Calvin Lin

1.5k total citations · 1 hit paper
9 papers, 919 citations indexed

About

Calvin Lin is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Calvin Lin has authored 9 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Calvin Lin's work include Diabetes and associated disorders (2 papers), Pancreatic function and diabetes (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Calvin Lin is often cited by papers focused on Diabetes and associated disorders (2 papers), Pancreatic function and diabetes (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Calvin Lin collaborates with scholars based in United States, Switzerland and Australia. Calvin Lin's co-authors include George D. Yancopoulos, Jesper Gromada, Andrew Murphy, Yurong Xin, Haruka Okamoto, Christina Adler, Jinrang Kim, Min Ni, Yi Wei and Valeria Azcoitia and has published in prestigious journals such as Cell Metabolism, Cancer Research and Endocrinology.

In The Last Decade

Calvin Lin

8 papers receiving 913 citations

Hit Papers

RNA Sequencing of Single Human Islet Cells Reveals Type 2... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Calvin Lin United States 7 551 325 203 156 149 9 919
Yung Hae Kim Denmark 16 672 1.2× 311 1.0× 189 0.9× 179 1.1× 89 0.6× 19 1.1k
Ryan M. Haskins United States 7 673 1.2× 167 0.5× 85 0.4× 108 0.7× 231 1.6× 8 1.2k
Joel Chappell United Kingdom 12 580 1.1× 116 0.4× 73 0.4× 56 0.4× 163 1.1× 18 976
Maretoshi Hirai Japan 12 626 1.1× 128 0.4× 403 2.0× 56 0.4× 146 1.0× 17 992
S. Massoglia United States 14 700 1.3× 140 0.4× 97 0.5× 55 0.4× 176 1.2× 16 977
Christina Adler United States 14 714 1.3× 464 1.4× 313 1.5× 18 0.1× 196 1.3× 23 1.3k
Delphine Ciais France 16 612 1.1× 96 0.3× 56 0.3× 64 0.4× 211 1.4× 19 940
David F. Meoli United States 14 586 1.1× 167 0.5× 72 0.4× 130 0.8× 115 0.8× 19 1.1k
Raffaele Tecce Italy 15 577 1.0× 134 0.4× 106 0.5× 96 0.6× 110 0.7× 26 1.4k
Catherine Bartoli France 19 748 1.4× 105 0.3× 72 0.4× 57 0.4× 128 0.9× 39 1.4k

Countries citing papers authored by Calvin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Calvin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Calvin Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Calvin Lin. A scholar is included among the top collaborators of Calvin Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Calvin Lin. Calvin Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
2.
Yao, Jun, Otávia L. Caballero, Ying Huang, et al.. (2016). Altered Expression and Splicing of ESRP1 in Malignant Melanoma Correlates with Epithelial–Mesenchymal Status and Tumor-Associated Immune Cytolytic Activity. Cancer Immunology Research. 4(6). 552–561. 49 indexed citations
3.
Xin, Yurong, Jinrang Kim, Haruka Okamoto, et al.. (2016). RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes. Cell Metabolism. 24(4). 608–615. 439 indexed citations breakdown →
4.
Xin, Yurong, Haruka Okamoto, Jinrang Kim, et al.. (2016). Single-Cell RNAseq Reveals That Pancreatic β-Cells From Very Old Male Mice Have a Young Gene Signature. Endocrinology. 157(9). 3431–3438. 23 indexed citations
5.
Latres, Esther, Lawrence Miloscio, Erqian Na, et al.. (2015). Myostatin blockade with a fully human monoclonal antibody induces muscle hypertrophy and reverses muscle atrophy in young and aged mice. Skeletal Muscle. 5(1). 34–34. 114 indexed citations
6.
Mastaitis, Jason, Mark Eckersdorff, Soo Min, et al.. (2015). Loss of SFRP4 Alters Body Size, Food Intake, and Energy Expenditure in Diet-Induced Obese Male Mice. Endocrinology. 156(12). 4502–4510. 15 indexed citations
7.
Fury, Wen, Adriana H. Tremoulet, Brookie M. Best, et al.. (2010). Transcript abundance patterns in Kawasaki disease patients with intravenous immunoglobulin resistance. Human Immunology. 71(9). 865–873. 72 indexed citations
8.
Adler, Alexander P., Alexandra Eichten, Yi Wei, et al.. (2008). Identifying tumor vascular genes regulated by Aflibercept (VEGF Trap). Cancer Research. 68. 2497–2497. 1 indexed citations
9.
Labrador, Juan-Pablo, Valeria Azcoitia, Jan Tuckermann, et al.. (2001). The collagen receptor DDR2 regulates proliferation and its elimination leads to dwarfism. EMBO Reports. 2(5). 446–452. 206 indexed citations

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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