Conway Gee

1.2k citations
14 papers · 926 indexed · h-index 11

Impact in

  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Cancer Immunotherapy and Biomarkers
    • Ovarian cancer diagnosis and treatment

Papers in

Conway Gee

14 papers receiving 901 citations

Peers

Conway Gee
Comparison fields: 5 of 68
  • Oncology 470
  • Reproductive Medicine 133
  • Cancer Research 204
  • Immunology 199
  • Pathology and Forensic Medicine 111
Replace Tsui‐Lien Mao with:
Tsui‐Lien Mao Taiwan
Steve Gyorffy Canada
Delicia Carey United States
Fumitaka Numa Japan
David Heinz United States
Jo Marie Tran Janco United States
V. Fermeaux France
Michael Churchman United Kingdom
Rob A. Verstraeten Netherlands
John McKolanis United States
Conway Gee relative to Tsui‐Lien Mao Taiwan Tsui‐Lien Mao's profile →
Citations per field
00.5×1.5×2.4×
Tsui‐Lien Mao · 1×
Citations per year

Countries citing papers authored by Conway Gee

Since Specialization
Citations

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

Fields of papers citing papers by Conway Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Correlation of p53 mutations with resistance to platinum-based chemotherapy and shortened survival in ovarian cancer.
2001228
2 2004196
3 2002138
4 199793
5 200393
6 200050
7 200638
8
A phase I trial of SD-9427 (progenipoietin) with a multipeptide vaccine for resected metastatic melanoma.
200334
9 200619
10 199818
11 200310
12 20146
13 20152
14 20001

About Conway Gee

Conway Gee is a scholar working on Oncology, Emergency Medicine, Gastroenterology, Pathology and Forensic Medicine and Immunology, having authored 14 papers that have together received 926 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Immunotherapy and Immune Responses (3 papers), vaccines and immunoinformatics approaches (3 papers), HIV/AIDS Research and Interventions (2 papers), Epigenetics and DNA Methylation (2 papers), Lymphoma Diagnosis and Treatment (2 papers), HIV-related health complications and treatments (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Oncology (470 citations), Reproductive Medicine (133 citations), Cancer Research (204 citations), Immunology (199 citations) and Pathology and Forensic Medicine (111 citations). Conway Gee has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Susan Groshen, Michael F. Press, Angela Reles, Annette Schmider, W. Lichtenegger, Jeffrey S. Weber, Lovell A. Jones, Richard J. Côté, Olaf Reich and Peter J. Goebell. Their work appears in journals such as Cancer, Journal of Clinical Oncology, Gynecologic Oncology, JAIDS Journal of Acquired Immune Deficiency Syndromes and American Journal of Obstetrics and Gynecology.

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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