Janet Wangari‐Talbot

17 total papers · 552 total citations
13 papers, 424 citations indexed

About

Janet Wangari‐Talbot is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Janet Wangari‐Talbot has authored 13 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Janet Wangari‐Talbot's work include melanin and skin pigmentation (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Skin Protection and Aging (3 papers). Janet Wangari‐Talbot is often cited by papers focused on melanin and skin pigmentation (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Skin Protection and Aging (3 papers). Janet Wangari‐Talbot collaborates with scholars based in United States, South Korea and Netherlands. Janet Wangari‐Talbot's co-authors include Suzie Chen, B. Wall, Elizabeth Hopper-Borge, Lumeng J. Yu, James S. Goydos, Qian Zheng, Hwa Jin Lee, Charbel Bouez, Seung‐Shick Shin and Pearl E. Grimes and has published in prestigious journals such as Clinical Cancer Research, British Journal of Cancer and Neuropharmacology.

In The Last Decade

Janet Wangari‐Talbot

13 papers receiving 420 citations

Author Peers

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

Author Last Decade Papers Cites
Janet Wangari‐Talbot 195 101 85 84 65 13 424
Joohong Park 125 0.6× 161 1.6× 251 3.0× 110 1.3× 15 0.2× 11 488
Daniel Ye 210 1.1× 17 0.2× 44 0.5× 67 0.8× 36 0.6× 14 430
Alun R. Wang 197 1.0× 75 0.7× 122 1.4× 31 0.4× 8 0.1× 20 446
Lumei Kang 153 0.8× 29 0.3× 122 1.4× 87 1.0× 14 0.2× 17 437
Yarí E. Marín 277 1.4× 9 0.1× 48 0.6× 114 1.4× 71 1.1× 7 410
Pierre-Marie Martin 146 0.7× 13 0.1× 122 1.4× 33 0.4× 33 0.5× 16 371
Paola Rojas 154 0.8× 9 0.1× 92 1.1× 39 0.5× 95 1.5× 16 399
Aintzane Apraiz 314 1.6× 32 0.3× 95 1.1× 16 0.2× 7 0.1× 20 483
Silvia Sostegni 132 0.7× 22 0.2× 34 0.4× 54 0.6× 8 0.1× 6 391
Noah Jenkins 222 1.1× 88 0.9× 66 0.8× 16 0.2× 5 0.1× 8 444

Countries citing papers authored by Janet Wangari‐Talbot

Since Specialization
Citations

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

Fields of papers citing papers by Janet Wangari‐Talbot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet Wangari‐Talbot. 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 Janet Wangari‐Talbot. The network helps show where Janet Wangari‐Talbot may publish in the future.

Co-authorship network of co-authors of Janet Wangari‐Talbot

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

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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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