Robert T. Wicks

1.5k citations
30 papers · 1.1k · h-index 16

Impact in

Papers in

Robert T. Wicks

29 papers receiving 1.0k citations

Peers

Robert T. Wicks
Comparison fields: 5 of 107
  • Neurology 98
  • Developmental Neuroscience 39
  • Neurology 135
  • Cellular and Molecular Neuroscience 169
  • Genetics 83
Replace Rashi I. Mehta with:
Rashi I. Mehta United States
Xiaoyuan Feng China
Ileana Zucca Italy
Colin M. Wilson United States
Alfonso Mastropietro Italy
Rachel Grossman Israel
Antje Willuweit Germany
Michael A. Pagel United States
Dali Yin United States
Philipp Boehm‐Sturm Germany
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Citations per field
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Citations per year

Countries citing papers authored by Robert T. Wicks

Since Specialization
Citations

This map shows the geographic impact of Robert T. Wicks'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 T. Wicks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Wicks more than expected).

Fields of papers citing papers by Robert T. Wicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020211
2 2018153
3 201896
4
Synthesis and biodistribution of neutral lipid-soluble Tc-99m complexes that cross the blood-brain barrier.
198491
5 201665
6 202057
7 201450
8 201248
9 201944
10 201138
11 201238
12 201128
13 201322
14 201419
15 200618
16 201915
17 201511
18
New Tc-99m brain imaging agents
198411
19 20209
20 20159

About Robert T. Wicks

Robert T. Wicks is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Genetics, Surgery and Neurology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Medical Imaging Techniques and Applications (3 papers), Lanthanide and Transition Metal Complexes (3 papers), 3D Printing in Biomedical Research (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Barrier Structure and Function Studies (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Neurology (98 citations), Developmental Neuroscience (39 citations), Neurology (135 citations), Cellular and Molecular Neuroscience (169 citations) and Genetics (83 citations). Robert T. Wicks has collaborated with scholars based in United States, Russia and Israel. Frequent co-authors include Sean V. Murphy, Anthony Atala, Goodwell Nzou, Daniel E. Couture, Elizabeth E. Wicks, Monte Blau, John D. Jackson, Jeffrey Billings, Hank F. Kung and Gautam Popli. Their work appears in journals such as Neurosurgery, Neurosurgical FOCUS, Neuro-Oncology, Scientific Reports and Journal of neurosurgery.

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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