Serina Huang

13 total papers · 791 total citations
7 papers, 360 citations indexed

About

Serina Huang is a scholar working on Surgery, Immunology and Molecular Biology. According to data from OpenAlex, Serina Huang has authored 7 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Serina Huang's work include Pancreatic function and diabetes (3 papers), Diabetes Management and Research (2 papers) and interferon and immune responses (2 papers). Serina Huang is often cited by papers focused on Pancreatic function and diabetes (3 papers), Diabetes Management and Research (2 papers) and interferon and immune responses (2 papers). Serina Huang collaborates with scholars based in United States, Germany and Sweden. Serina Huang's co-authors include Kyle J. Gaulton, Jee Yun Han, Maike Sander, Michael Miller, Joshua Chiou, Mei-Lin Okino, Sebastian Preißl, David U. Gorkin, Elisha Beebe and Alexander Kleger and has published in prestigious journals such as Nature, Nature Genetics and The EMBO Journal.

In The Last Decade

Serina Huang

7 papers receiving 357 citations

Hit Papers

Interpreting type 1 diabe... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Serina Huang 198 132 119 88 85 7 360
S van Deventer 216 1.1× 185 1.4× 85 0.7× 57 0.6× 44 0.5× 11 402
Ryan J. Geusz 189 1.0× 135 1.0× 189 1.6× 115 1.3× 39 0.5× 7 375
A Ariza 170 0.9× 127 1.0× 110 0.9× 68 0.8× 118 1.4× 8 366
Jeff Eastham-Anderson 92 0.5× 188 1.4× 134 1.1× 95 1.1× 64 0.8× 10 402
Jinxiu Rui 217 1.1× 114 0.9× 229 1.9× 155 1.8× 96 1.1× 10 401
Mei-Lin Okino 259 1.3× 148 1.1× 170 1.4× 117 1.3× 53 0.6× 7 384
Suzanne M. Breckenridge 46 0.2× 118 0.9× 90 0.8× 88 1.0× 92 1.1× 8 366
Tanya Halvorsen 121 0.6× 183 1.4× 151 1.3× 85 1.0× 15 0.2× 7 381
Andrea Valle 202 1.0× 60 0.5× 112 0.9× 80 0.9× 204 2.4× 9 379
Gabriel Espinosa-Carrasco 82 0.4× 72 0.5× 76 0.6× 50 0.6× 163 1.9× 8 302

Countries citing papers authored by Serina Huang

Since Specialization
Citations

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

Fields of papers citing papers by Serina Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serina Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Serina Huang. A scholar is included among the top collaborators of Serina Huang 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 Serina Huang. Serina Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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