Shasa Hu

77 total papers · 2.2k total citations
43 papers, 1.3k citations indexed

About

Shasa Hu is a scholar working on Dermatology, Epidemiology and Oncology. According to data from OpenAlex, Shasa Hu has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Dermatology, 14 papers in Epidemiology and 13 papers in Oncology. Recurrent topics in Shasa Hu's work include Cutaneous Melanoma Detection and Management (10 papers), Skin Protection and Aging (8 papers) and Cutaneous lymphoproliferative disorders research (8 papers). Shasa Hu is often cited by papers focused on Cutaneous Melanoma Detection and Management (10 papers), Skin Protection and Aging (8 papers) and Cutaneous lymphoproliferative disorders research (8 papers). Shasa Hu collaborates with scholars based in United States, Netherlands and Saudi Arabia. Shasa Hu's co-authors include Robert S. Kirsner, Fangchao Ma, Fernando Collado‐Mesa, Panta Rouhani, Dorothy F. Parker, Clara Curiel‐Lewandrowski, Timothy M. Johnson, Jeffrey E. Gershenwald, Susan M. Swetter and Oliver J. Wisco and has published in prestigious journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Shasa Hu

43 papers receiving 1.3k citations

Hit Papers

Guidelines of care for th... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Shasa Hu 703 541 415 195 113 43 1.3k
Phillip M. Williford 583 0.8× 999 1.8× 872 2.1× 166 0.9× 67 0.6× 63 1.7k
Myrto Trakatelli 447 0.6× 908 1.7× 581 1.4× 261 1.3× 92 0.8× 50 1.6k
Marta J. Van Beek 267 0.4× 677 1.3× 277 0.7× 82 0.4× 120 1.1× 38 1.2k
Daniel M. Siegel 426 0.6× 642 1.2× 449 1.1× 238 1.2× 39 0.3× 103 1.7k
Feras M. Ghazawi 431 0.6× 428 0.8× 292 0.7× 270 1.4× 52 0.5× 71 1.3k
Mary E. Maloney 466 0.7× 910 1.7× 817 2.0× 372 1.9× 55 0.5× 61 1.8k
Rex A. Amonette 576 0.8× 1.0k 1.9× 698 1.7× 135 0.7× 222 2.0× 31 1.4k
Beate Volkmer 805 1.1× 687 1.3× 501 1.2× 241 1.2× 88 0.8× 42 1.4k
Richard P. Gallagher 583 0.8× 755 1.4× 503 1.2× 235 1.2× 161 1.4× 16 1.5k
Tamara Salam Housman 327 0.5× 981 1.8× 450 1.1× 113 0.6× 31 0.3× 31 1.5k

Countries citing papers authored by Shasa Hu

Since Specialization
Citations

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

Fields of papers citing papers by Shasa Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shasa Hu

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