Junchen Gu

7 papers receiving 455 citations

Junchen Gu's Hit Papers

Safety and Efficacy of Nivolumab Monotherapy in Recurrent or Metastatic Cervical, Vaginal, or Vulvar Carcinoma: Results From the Phase I/II CheckMate 358 Trial 2019 · 317 citations
3170+2+4Years since publication100200300

Peers

Junchen Gu
Comparison fields: 5 of 53
  • Obstetrics and Gynecology 150
  • Oncology 198
  • Reproductive Medicine 41
  • Immunology 90
  • Epidemiology 81
Replace Alina Abramian with:
Alina Abramian Germany
Luis Z. Blanco United States
Peter Widschwendter Germany
Michaela Bártů Czechia
Maria M. Rubinstein United States
Eunice H. Rhee United States
Susan Valmadre Australia
Fabio Rampinelli Italy
Yu Yu Andreeva Russia
M K Heatley United Kingdom
Junchen Gu relative to Alina Abramian Germany Alina Abramian's profile →
Citations per field
00.5×2×3.4×
Alina Abramian · 1×
Citations per year

Countries citing papers authored by Junchen Gu

Since Specialization
Citations

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

Fields of papers citing papers by Junchen Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junchen Gu, 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 Junchen Gu Line = papers co-authored together Junchen Gu links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Safety and Efficacy of Nivolumab Monotherapy in Recurrent or Metastatic Cervical, Vaginal, or Vulvar Carcinoma: Results From the Phase I/II CheckMate 358 Trial
Hit paper breakdown →
2019317
2 201960
3 201635
4 201720
5 202218
6 202110
7 20221

About Junchen Gu

Junchen Gu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Obstetrics and Gynecology and Hematology, having authored 7 papers that have together received 461 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (2 papers), Lung Cancer Treatments and Mutations (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer-related gene regulation (1 paper), Lung Cancer Research Studies (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Obstetrics and Gynecology (150 citations), Oncology (198 citations), Reproductive Medicine (41 citations), Immunology (90 citations) and Epidemiology (81 citations). Junchen Gu has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Valentina Boni, Tim Meyer, José M. López-Picazo, Suzanne L. Topalian, Kathleen N. Moore, R. Wendel Naumann, Ana Oaknin, T.R. Jeffry Evans, Michael-John Devlin and Emiliano Calvo. Their work appears in journals such as Molecular Oncology, Journal of Clinical Oncology, OncoImmunology, G3 Genes Genomes Genetics and BMC Genomics.

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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