Robert T. Wicks

1.5k citations
30 papers · 1.0k · h-index 16

Impact in

Papers in

Robert T. Wicks

29 papers receiving 1.0k citations

Peers

Robert T. Wicks
Comparison fields: 5 of 109
  • Neurology 97
  • Neurology 166
  • Cellular and Molecular Neuroscience 199
  • Developmental Neuroscience 40
  • Genetics 96
Replace Rashi I. Mehta with:
Rashi I. Mehta United States
Alfonso Mastropietro Italy
Ileana Zucca Italy
Colin M. Wilson United States
Antje Willuweit Germany
Xiaoyuan Feng China
Christina Lewis United States
Rachel Grossman Israel
Silvia Lope‐Piedrafita Spain
Michael A. Pagel United States
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Citations per field
00.5×2.7×
Rashi I. Mehta · 1×
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 2020201
2 2018144
3 201892
4
Synthesis and biodistribution of neutral lipid-soluble Tc-99m complexes that cross the blood-brain barrier.
198490
5 201665
6 202054
7 201450
8 201248
9 201944
10 201236
11 201136
12 201128
13 201322
14 201419
15 200618
16 201915
17
New Tc-99m brain imaging agents
198411
18 201510
19 20209
20 20159

About Robert T. Wicks

Robert T. Wicks is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Genetics, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Neuroscience and Neural Engineering (3 papers), Meningioma and schwannoma management (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Medical Imaging Techniques and Applications (3 papers) and Lanthanide and Transition Metal Complexes (3 papers). The work is most often cited by research in Neurology (97 citations), Neurology (166 citations), Cellular and Molecular Neuroscience (199 citations), Developmental Neuroscience (40 citations) and Genetics (96 citations). Robert T. Wicks has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Sean V. Murphy, Goodwell Nzou, Anthony Atala, Daniel E. Couture, Monte Blau, Elizabeth E. Wicks, John D. Jackson, Jeffrey Billings, Hank F. Kung and Gautam Popli. Their work appears in journals such as Neurosurgery, Scientific Reports, Neurosurgical FOCUS, Neuro-Oncology and World 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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