Suzie Chen

4.4k citations
100 papers · 3.1k indexed · h-index 34

Impact in

Papers in

Suzie Chen

98 papers receiving 3.1k citations

Peers

Suzie Chen
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 625
  • Cancer Research 450
  • Molecular Biology 2.0k
  • Sensory Systems 137
  • Psychiatry and Mental health 424
Replace Xuefen Le Bourhis with:
Xuefen Le Bourhis France
Guido Lenz Brazil
Martín Villalba France
James Sinnett‐Smith United States
Timothy W. Corson United States
Yan Jin China
Hervé Chneiweiss France
Naseema M. Hoosein United States
Gary A. Clawson United States
Osamu Nakanishi Japan
Suzie Chen relative to Xuefen Le Bourhis France Xuefen Le Bourhis's profile →
Citations per field
00.5×1.5×2.5×
Xuefen Le Bourhis · 1×
Citations per year

Countries citing papers authored by Suzie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Suzie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Suzie Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suzie Chen Line = papers co-authored together Suzie Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202421
2 20241
3 20236
4 20235
5 202213
6 201969
7 2016176
8 201444
9 20139
10 201211
11 201216
12 201134
13 201065
14 201050
15 200219
16 200116
17 200018
18 199934
19 199862
20 19859

About Suzie Chen

Suzie Chen is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Molecular Biology, Oncology and Immunology, having authored 100 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Cancer, Stress, Anesthesia, and Immune Response (18 papers), Immunotherapy and Immune Responses (15 papers), Receptor Mechanisms and Signaling (14 papers), Melanoma and MAPK Pathways (13 papers), RNA Interference and Gene Delivery (11 papers), melanin and skin pigmentation (10 papers) and Virus-based gene therapy research (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (625 citations), Cancer Research (450 citations), Molecular Biology (2.0k citations), Sensory Systems (137 citations) and Psychiatry and Mental health (424 citations). Suzie Chen has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Kevinn Eddy, B. Wall, Allison L. Isola, James S. Goydos, Seung‐Shick Shin, Jin Namkoong, Hwa Jin Lee, Janet Wangari‐Talbot, Yarí E. Marín and Jessica L.F. Teh. Their work appears in journals such as Pigment Cell & Melanoma Research, Oncotarget, Clinical Cancer Research, Cancer Research and Cancers.

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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