Connie Tsai

12 total papers · 623 total citations
7 papers, 461 citations indexed

About

Connie Tsai is a scholar working on Endocrine and Autonomic Systems, Neurology and Physiology. According to data from OpenAlex, Connie Tsai has authored 7 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrine and Autonomic Systems, 3 papers in Neurology and 3 papers in Physiology. Recurrent topics in Connie Tsai's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Circadian rhythm and melatonin (3 papers) and Spaceflight effects on biology (2 papers). Connie Tsai is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Circadian rhythm and melatonin (3 papers) and Spaceflight effects on biology (2 papers). Connie Tsai collaborates with scholars based in United States. Connie Tsai's co-authors include Katrin I. Andreasson, Erik D. Herzog, Siddhita D. Mhatre, Michelle L. James, Robert P. Irwin, Charles N. Allen, Vilas Menon, Lev Litichevskiy, Francis J. Doyle and Christoph A. Thaiss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and Trends in Neurosciences.

In The Last Decade

Connie Tsai

7 papers receiving 456 citations

Author Peers

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

Author						Papers	Cites
Connie Tsai	223	183	121	107	104	7	461
Collin J. Nadarajah	250 1.1×	183 1.0×	72 0.6×	113 1.1×	155 1.5×	10	536
Percy Griffin	301 1.3×	150 0.8×	73 0.6×	76 0.7×	133 1.3×	10	483
Emanuele Brai	101 0.5×	121 0.7×	97 0.8×	187 1.7×	85 0.8×	18	524
Lubov Ezerskiy	129 0.6×	157 0.9×	82 0.7×	136 1.3×	148 1.4×	9	449
T. Sebestény	245 1.1×	90 0.5×	127 1.0×	151 1.4×	15 0.1×	9	528
Nichole Neuendorff	401 1.8×	209 1.1×	83 0.7×	85 0.8×	17 0.2×	15	549
Suraj Pradhan	171 0.8×	48 0.3×	145 1.2×	69 0.6×	57 0.5×	10	489
Maureen Cabatic	81 0.4×	56 0.3×	91 0.8×	125 1.2×	57 0.5×	13	437
C Nakayama	111 0.5×	133 0.7×	161 1.3×	144 1.3×	27 0.3×	8	470
Sara B. Noya	211 0.9×	94 0.5×	144 1.2×	92 0.9×	42 0.4×	8	420

Countries citing papers authored by Connie Tsai

Since Specialization

Citations

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

Fields of papers citing papers by Connie Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Tsai

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