Christine Tang

57 total papers · 1.3k total citations
37 papers, 966 citations indexed

About

Christine Tang is a scholar working on Surgery, Oncology and General Health Professions. According to data from OpenAlex, Christine Tang has authored 37 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 5 papers in Oncology and 4 papers in General Health Professions. Recurrent topics in Christine Tang's work include Pancreatic function and diabetes (8 papers), Breast Cancer Treatment Studies (3 papers) and Diabetes and associated disorders (3 papers). Christine Tang is often cited by papers focused on Pancreatic function and diabetes (8 papers), Breast Cancer Treatment Studies (3 papers) and Diabetes and associated disorders (3 papers). Christine Tang collaborates with scholars based in Canada, United States and United Kingdom. Christine Tang's co-authors include Adria Giacca, Michael B. Wheeler, Andrei I. Oprescu, B Filippi, Tony K.T. Lam, Emma M. Allister, Simon J. Craddock Lee, Eric J. Holowaty, Nelson W. Chong and Mitchell H. Brown and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Christine Tang

37 papers receiving 947 citations

Hit Papers

Inhalable biohybrid micro... 2025 2026 2025 5 10 15

Author Peers

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

Author Last Decade Papers Cites
Christine Tang 472 235 223 200 158 37 966
Hye‐Soon Kim 239 0.5× 315 1.3× 264 1.2× 199 1.0× 334 2.1× 45 1.2k
Toru Sugiyama 339 0.7× 304 1.3× 195 0.9× 400 2.0× 189 1.2× 47 1.2k
Petra Algenstaedt 211 0.4× 390 1.7× 235 1.1× 106 0.5× 218 1.4× 33 1.0k
Sunmin Park 580 1.2× 475 2.0× 173 0.8× 274 1.4× 121 0.8× 57 1.2k
Simonetta Bacci 244 0.5× 278 1.2× 205 0.9× 415 2.1× 345 2.2× 37 1.2k
H. M. J. Krans 327 0.7× 467 2.0× 252 1.1× 555 2.8× 129 0.8× 42 1.2k
Jeanne M. Franzone 528 1.1× 741 3.2× 170 0.8× 129 0.6× 201 1.3× 29 1.1k
Narjes Nasiri‐Ansari 229 0.5× 298 1.3× 127 0.6× 412 2.1× 446 2.8× 35 982
Timothy S. McMillen 224 0.5× 435 1.9× 273 1.2× 108 0.5× 244 1.5× 37 1.1k
Sandra Romero‐Hidalgo 177 0.4× 243 1.0× 181 0.8× 146 0.7× 179 1.1× 39 836

Countries citing papers authored by Christine Tang

Since Specialization
Citations

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

Fields of papers citing papers by Christine Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Tang. A scholar is included among the top collaborators of Christine Tang 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 Christine Tang. Christine Tang 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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