Connie E. Gee

1.7k citations
11 papers · 1.4k indexed · 1 hit paper · h-index 9

Impact in

Papers in

Connie E. Gee

11 papers receiving 1.3k citations

Hit Papers

Differential expression of myc family genes during murine development 1986 · 480 citations
4801986202619992012100200300400

Peers

Connie E. Gee
Comparison fields: 5 of 72
  • Neurology 470
  • Endocrine and Autonomic Systems 124
  • Molecular Biology 865
  • Genetics 280
  • Cancer Research 135
Replace Robert G. Collum with:
Robert G. Collum United States
Luisella Toschi Germany
Yoshihisa Sakai United States
Ramakrishnan Sasi Canada
Kathleen M. Scully United States
Ferdinand Rossi United States
F. M. Ross United Kingdom
Marie‐Claude Boutterin France
Cornelio G. Caday United States
Michelle Vinocour United States
Connie E. Gee relative to Robert G. Collum United States Robert G. Collum's profile →
Citations per field
00.5×1.5×1.8×
Robert G. Collum · 1×
Citations per year

Countries citing papers authored by Connie E. Gee

Since Specialization
Citations

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

Fields of papers citing papers by Connie E. Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201218
2
New methods for the characterisation of biopharmaceuticals: conjugate vaccines against Haemophilus influenzae type b.
19992
3 198643
4
Differential expression of myc family genes during murine development
Hit paper breakdown →
1986480
5 198631
6 1986251
7 1984209
8 1983102
9 1983214
10 198310
11 19826

About Connie E. Gee

Connie E. Gee is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience, Virology, Neurology and Cancer Research, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Regulation of Appetite and Obesity (2 papers), Stress Responses and Cortisol (1 paper), Hypothalamic control of reproductive hormones (1 paper), HIV Research and Treatment (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Neurology (470 citations), Endocrine and Autonomic Systems (124 citations), Molecular Biology (865 citations), Genetics (280 citations) and Cancer Research (135 citations). Connie E. Gee has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Nancy E. Kohl, Frederick W. Alt, James L. Roberts, Russell K. Smith, Robert C. Thompson, Stanley J. Watson, George D. Yancopoulos, Owen N. Witte, Marion M. Nau and Robert G. Collum. Their work appears in journals such as Nature, The Journal of Immunology, Science, Trends in Neurosciences and Journal of Immunological Methods.

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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