Christopher R. LaPensee

1.5k citations
18 papers · 1.1k indexed · h-index 14

Impact in

Papers in

Christopher R. LaPensee

18 papers receiving 1.1k citations

Peers

Christopher R. LaPensee
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 445
  • Endocrine and Autonomic Systems 99
  • Reproductive Medicine 114
  • Behavioral Neuroscience 35
  • Cancer Research 142
Replace E. L. Hooghe‐Peters with:
E. L. Hooghe‐Peters Belgium
Mariko Shirota Japan
Elizabeth W. LaPensee United States
Djurdjica Coss United States
M. Ohmichi Japan
Amal K. Mukhopadhyay Germany
Marit Bakke Norway
Lars R. Ingerslev Denmark
William J. DeVito United States
Juan Pablo Méndez Mexico
Christopher R. LaPensee relative to E. L. Hooghe‐Peters Belgium E. L. Hooghe‐Peters's profile →
Citations per field
00.5×6.2×
E. L. Hooghe‐Peters · 1×
Citations per year

Countries citing papers authored by Christopher R. LaPensee

Since Specialization
Citations

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

Fields of papers citing papers by Christopher R. LaPensee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher R. LaPensee. 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 Christopher R. LaPensee. The network helps show where Christopher R. LaPensee may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202313
2 202013
3 20202
4 20201
5 201747
6 201671
7 201547
8 201413
9 201428
10 201133
11 200946
12 200952
13 20081
14 200836
15 200836
16 2007403
17 2006259
18 200645

About Christopher R. LaPensee

Christopher R. LaPensee is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Genetics, Genetics and Molecular Biology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Adipose Tissue and Metabolism (4 papers), Estrogen and related hormone effects (4 papers), Epigenetics and DNA Methylation (3 papers), Hormonal Regulation and Hypertension (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Glioma Diagnosis and Treatment (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (445 citations), Endocrine and Autonomic Systems (99 citations), Reproductive Medicine (114 citations), Behavioral Neuroscience (35 citations) and Cancer Research (142 citations). Christopher R. LaPensee has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Nira Ben‐Jonathan, Elizabeth W. LaPensee, Eric R. Hugo, Terry D. Brandebourg, Gary D. Hammer, Isabella Finco, Scott E. Afton, Sandy Schwemberger, Antônio Marcondes Lerário and Grace Lin. Their work appears in journals such as Endocrinology, Molecular and Cellular Endocrinology, Cancers, Frontiers in Endocrinology and Cancer Letters.

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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