Nicole Traugh

13.0k citations
10 papers · 7.7k indexed · 2 hit papers · h-index 5
Topics
Cancer Immunotherapy and Biomarkers (4 papers)Ferroptosis and cancer prognosis (3 papers)CAR-T cell therapy research (2 papers)

In The Last Decade

Nicole Traugh

9 papers receiving 7.6k citations

Hit Papers

TIMER: A Web Server for Comprehensive Analysis of Tumor-I...20172026202020232017201810002.0k3.0k4.0k

Peers

Nicole Traugh
Comparison fields: 5 of 94
  • Molecular Biology 4.3k
  • Pulmonary and Respiratory Medicine 4.2k
  • Oncology 3.0k
  • Cancer Research 2.7k
  • Immunology 1.9k
Replace Jingxin Fu with:
Jingxin Fu United States
Kosuke Yoshihara Japan
Maria Shahmoradgoli United States
Hoon Kim United States
Priti Lal United States
Florent Petitprez France
De‐Chen Lin United States
Mark Ayers United States
Helen K. Angell United Kingdom
Nicolás A. Giraldo France
Nicole Traugh relative to Jingxin Fu United States Jingxin Fu's profile →
Citations per field
00.5×3.3×
Jingxin Fu · 1×
Citations per year

Countries citing papers authored by Nicole Traugh

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Traugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Traugh

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 0
3 2
4 1
5 1
6 15
7 236
8 7
9
Signatures of T cell dysfunction and exclusion predict cancer immunotherapy responsebreakdown →
3242
10
TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cellsbreakdown →
4148

About Nicole Traugh

Nicole Traugh is a scholar working on Immunology and Allergy, Oncology and Cancer Research, having authored 10 papers that have together received 7.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Ferroptosis and cancer prognosis (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (2.7k citations), Pulmonary and Respiratory Medicine (4.2k citations) and Oncology (3.0k citations). Nicole Traugh has collaborated with scholars based in United States, China and Austria. Frequent co-authors include X. Shirley Liu, Bo Li, Binbin Wang, Qianming Chen, Jun S. Liu, Jing‐Yu Fan, Taiwen Li, Myles Brown, Ziyi Li and Shengqing Gu. Their work appears in journals such as Nature Medicine, Development and Cancer Research.

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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