Tina Tang

679 citations
17 papers · 333 indexed · 1 hit paper · h-index 6
Topics
Cancer and Skin Lesions (3 papers)Retinal Imaging and Analysis (3 papers)Histiocytic Disorders and Treatments (2 papers)
Journals
NatureSHILAP Revista de lepidopterologíaEnvironmental Research

In The Last Decade

Tina Tang

15 papers receiving 308 citations

Hit Papers

Quantifying the evolutionary dynamics of language2007202620132019200750100150200250

Peers

Tina Tang
Comparison fields: 5 of 82
  • Cultural Studies 137
  • Artificial Intelligence 94
  • Language and Linguistics 67
  • Linguistics and Language 55
  • Sociology and Political Science 52
Replace Andrea Nini with:
Andrea Nini United Kingdom
Christopher Ahern United States
Gereon A. Kaiping Switzerland
Damon Mayaffre France
Gavan Breen Australia
Raj Singh Canada
Charles J. Bailey United States
Bruce Jackson United States
Sean Michael Morris United Kingdom
Paula Chesley United States
Tina Tang relative to Andrea Nini United Kingdom Andrea Nini's profile →
Citations per field
00.5×8.5×
Andrea Nini · 1×
Citations per year

Countries citing papers authored by Tina Tang

Since Specialization
Citations

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

Fields of papers citing papers by Tina Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Tang

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 1
3 5
4 11
5 1
6 2
7 11
8 0
9 2
10 2
11 7
12 3
13 3
14 25
15 1
16
Quantifying the evolutionary dynamics of languagebreakdown →
251
17 8

About Tina Tang

Tina Tang is a scholar working on Ophthalmology, Dermatology and Biological Psychiatry, having authored 17 papers that have together received 333 indexed citations. Recurring topics across this work include Cancer and Skin Lesions (3 papers), Retinal Imaging and Analysis (3 papers) and Histiocytic Disorders and Treatments (2 papers). The work is most often cited by research in Cultural Studies (137 citations), Linguistics and Language (55 citations) and Language and Linguistics (67 citations). Tina Tang has collaborated with scholars based in Canada, United States and Ivory Coast. Frequent co-authors include Jean-Baptiste Michel, Joe Jackson, E. James Lieberman, Martin A. Nowak, Nathalie Auger, Marianne Bilodeau‐Bertrand, Marc‐André Rhéaume, Tom Kosatsky, Seymour Brownstein and Michael D. O’Connor. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Environmental Research.

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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