Vanessa Dang

32 total papers · 928 total citations
6 papers, 305 citations indexed

About

Vanessa Dang is a scholar working on Reproductive Medicine, Molecular Biology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Vanessa Dang has authored 6 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Reproductive Medicine, 1 paper in Molecular Biology and 1 paper in Critical Care and Intensive Care Medicine. Recurrent topics in Vanessa Dang's work include Sperm and Testicular Function (2 papers), Cancer Diagnosis and Treatment (1 paper) and Sleep and Wakefulness Research (1 paper). Vanessa Dang is often cited by papers focused on Sperm and Testicular Function (2 papers), Cancer Diagnosis and Treatment (1 paper) and Sleep and Wakefulness Research (1 paper). Vanessa Dang collaborates with scholars based in United States. Vanessa Dang's co-authors include Jessica M. Bryant, Mirella L. Meyer‐Ficca, Ralph G. Meyer, Shelley L. Berger, Stephanie C. Casey, David I. Bellovin, Chi V. Dang, Meital Gabay, Yulin Li and Adolfo Garcı́a-Ocaña and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Visualized Experiments.

In The Last Decade

Vanessa Dang

6 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Vanessa Dang 215 130 49 46 42 6 305
Meenu Maan 169 0.8× 134 1.0× 79 1.6× 28 0.6× 11 0.3× 9 355
Laura M. Popoviciu 139 0.6× 87 0.7× 20 0.4× 38 0.8× 26 0.6× 6 333
Edyta Vieth 264 1.2× 112 0.9× 22 0.4× 37 0.8× 25 0.6× 7 323
V J Buckle 219 1.0× 52 0.4× 11 0.2× 18 0.4× 142 3.4× 5 333
Akiyo Ogawa 167 0.8× 77 0.6× 55 1.1× 16 0.3× 35 0.8× 9 336
Cuidan Song 125 0.6× 25 0.2× 21 0.4× 108 2.3× 105 2.5× 6 296
Adam K. Willson 208 1.0× 173 1.3× 14 0.3× 19 0.4× 14 0.3× 8 321
P.J. O'Donovan 151 0.7× 55 0.4× 47 1.0× 12 0.3× 98 2.3× 10 281
B. Valcaccia 109 0.5× 31 0.2× 68 1.4× 57 1.2× 181 4.3× 8 364
Wubin Ding 247 1.1× 72 0.6× 28 0.6× 81 1.8× 26 0.6× 10 306

Countries citing papers authored by Vanessa Dang

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Dang

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