Chad E. Groer

1.3k citations
24 papers · 1.1k · h-index 13

Impact in

Papers in

Chad E. Groer

24 papers receiving 1.1k citations

Peers

Chad E. Groer
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 559
  • Molecular Biology 702
  • Pharmacology 80
  • Immunology 116
  • Physiology 131
Replace Véronique Blais with:
Véronique Blais Canada
Denise S. Simpson United States
Keshab Bhattacharya United States
Tadeusz Karcz Poland
Ethel C. Garnier‐Amblard United States
Xuemei Peng China
John Shultz United States
Kuniaki Kawamura Japan
Hatsue Waki Japan
Rajendra Uprety United States
Chad E. Groer relative to Véronique Blais Canada Véronique Blais's profile →
Citations per field
00.5×2×4×6×7.3×
Véronique Blais · 1×
Citations per year

Countries citing papers authored by Chad E. Groer

Since Specialization
Citations

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

Fields of papers citing papers by Chad E. Groer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011218
2 2006196
3 2011112
4 201493
5 201376
6 201973
7 200860
8 202058
9 201155
10 201641
11 201124
12 202023
13 201618
14 201410
15 202010
16 202110
17 20167
18 20236
19 20225
20 20244

About Chad E. Groer

Chad E. Groer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (7 papers), Immunotherapy and Immune Responses (6 papers), RNA Interference and Gene Delivery (4 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Immune Response and Inflammation (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Traditional and Medicinal Uses of Annonaceae (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (559 citations), Molecular Biology (702 citations), Pharmacology (80 citations), Immunology (116 citations) and Physiology (131 citations). Chad E. Groer has collaborated with scholars based in United States, New Zealand and Hungary. Frequent co-authors include Laura Bohn, Cullen L. Schmid, Kirsten M. Raehal, Thomas E. Prisinzano, Richard B. Rothman, Wayne W. Harding, Kevin Tidgewell, Robert A. Moyer, Alex M. Jaeger and M. Laird Forrest. Their work appears in journals such as Molecular Pharmaceutics, Journal of Medicinal Chemistry, Journal of Biological Chemistry, Journal of Controlled Release and Journal of Natural Products.

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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