Jamie K. Hu

435 total citations
17 papers, 298 citations indexed

About

Jamie K. Hu is a scholar working on Dermatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Jamie K. Hu has authored 17 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Dermatology, 4 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Jamie K. Hu's work include Dermatologic Treatments and Research (3 papers), Nonmelanoma Skin Cancer Studies (3 papers) and melanin and skin pigmentation (2 papers). Jamie K. Hu is often cited by papers focused on Dermatologic Treatments and Research (3 papers), Nonmelanoma Skin Cancer Studies (3 papers) and melanin and skin pigmentation (2 papers). Jamie K. Hu collaborates with scholars based in United States, China and Türkiye. Jamie K. Hu's co-authors include Miaofen G. Hu, Jinghao Sheng, Guo-fu Hu, Hiroko Kishikawa, Chi Luo, Wenhui Zhou, Peter M. Sadow, Michael Girardi, Soichiro Ibaragi and Ming Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Leukemia.

In The Last Decade

Jamie K. Hu

15 papers receiving 294 citations

Peers

Jamie K. Hu
Comparison fields: 5 of 69
  • Molecular Biology 129
  • Oncology 50
  • Epidemiology 45
  • Cellular and Molecular Neuroscience 43
  • Cancer Research 35
Replace Takashi Kon with:
Takashi Kon Japan
Avigail Rein Israel
Julianne Behnke‐Mursch Germany
Xuehua Ding China
Marlinde L. van den Boogaard Netherlands
Christiane Bay Denmark
Ronit Reich‐Slotky United States
Ninh Doan United States
Shigetaka Yanagisawa Japan
Shahram Samiei Iran
Takashi Kon Japan View profile →
Citations per field, relative to Jamie K. Hu
Jamie K. Hu · 1×
Citations per year, relative to Jamie K. Hu
Jamie K. Hu · 1×

Countries citing papers authored by Jamie K. Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jamie K. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie K. Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie K. Hu. A scholar is included among the top collaborators of Jamie K. 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 Jamie K. Hu. Jamie K. Hu 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
# Work Indexed citations
1 5
2 0
3 3
4 1
5 2
6 0
7 8
8 37
9 10
10 1
11
Low-Dose Intralesional Recombinant Interferon-α2b in the Treatment of Mycosis Fungoides.
4
12 5
13 55
14 47
15 38
16 47
17 35

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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