Robert L. Gladding

1.9k citations
46 papers · 1.3k · h-index 21

Impact in

Papers in

Robert L. Gladding

46 papers receiving 1.3k citations

Peers

Robert L. Gladding
Comparison fields: 5 of 80
  • Biological Psychiatry 76
  • Neurology 140
  • Cellular and Molecular Neuroscience 298
  • Oncology 297
  • Pharmacology 183
Replace Hisashi Doi with:
Hisashi Doi Japan
Jinsoo Hong United States
Jeih-San Liow United States
Nicholas Seneca United States
Ryuji Nakao Japan
Kimberly J. Jenko United States
Sofie Celen Belgium
Katarina Varnäs Sweden
Krystyna M. Wozniak United States
Masanori Ichise United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert L. Gladding

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. Gladding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Gladding. 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 Robert L. Gladding. The network helps show where Robert L. Gladding may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009228
2 200978
3 200873
4 200871
5 201466
6 200764
7 200760
8 200853
9 201448
10 201143
11 200942
12 201840
13 200633
14 201828
15 201028
16 201526
17 201826
18 201325
19 201324
20 202122

About Robert L. Gladding

Robert L. Gladding is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pharmacology and Oncology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Receptor Mechanisms and Signaling (11 papers), Medical Imaging Techniques and Applications (8 papers), Drug Transport and Resistance Mechanisms (8 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Inflammatory mediators and NSAID effects (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Biological Psychiatry (76 citations), Neurology (140 citations), Cellular and Molecular Neuroscience (298 citations), Oncology (297 citations) and Pharmacology (183 citations). Robert L. Gladding has collaborated with scholars based in United States, Sweden and South Korea. Frequent co-authors include Robert B. Innis, Victor W. Pike, Sami S. Zoghbi, Jinsoo Hong, Jeih‐San Liow, Masahiro Fujita, Cheryl L. Morse, Kimberly J. Jenko, William Charles Kreisl and Nicholas Seneca. Their work appears in journals such as Journal of Nuclear Medicine, NeuroImage, Journal of Medicinal Chemistry, ACS Chemical Neuroscience and Nuclear Medicine and Biology.

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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