Roberta P. Glick

2.4k citations
80 papers · 1.8k · h-index 26

Impact in

Papers in

Roberta P. Glick

79 papers receiving 1.8k citations

Peers

Roberta P. Glick
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 445
  • Genetics 222
  • Neurology 236
  • Immunology 234
  • Oncology 268
Replace Jun‐ichi Kuratsu with:
Jun‐ichi Kuratsu Japan
Carmelo Anile Italy
Renato Spaziante Italy
Hirofumi Hirano Japan
Osamu Tachibana Japan
Knut Dietzmann Germany
Samuel Gebré‐Medhin Sweden
Akira Teramoto Japan
Yoko Nakasu Japan
Y Ushio Japan
Roberta P. Glick relative to Jun‐ichi Kuratsu Japan Jun‐ichi Kuratsu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Roberta P. Glick

Since Specialization
Citations

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

Fields of papers citing papers by Roberta P. Glick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberta P. Glick. 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 Roberta P. Glick. The network helps show where Roberta P. Glick may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199397
2 197984
3 200683
4 198981
5 199965
6 199558
7 199056
8 198855
9 199550
10 198746
11 198744
12 199744
13
Production of insulin-like growth factor-binding proteins by human central nervous system tumors.
199142
14 200941
15 199941
16 198638
17 198337
18 200233
19 199033
20 199031

About Roberta P. Glick

Roberta P. Glick is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Neurology, Immunology and Oncology, having authored 80 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Immunotherapy and Immune Responses (12 papers), Neuroblastoma Research and Treatments (11 papers), Glioma Diagnosis and Treatment (10 papers), Pituitary Gland Disorders and Treatments (9 papers), CAR-T cell therapy research (8 papers), Neuroendocrine Tumor Research Advances (7 papers) and Cerebrospinal fluid and hydrocephalus (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (445 citations), Genetics (222 citations), Neurology (236 citations), Immunology (234 citations) and Oncology (268 citations). Roberta P. Glick has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Terry Lichtor, Terry G. Unterman, Edward P. Cohen, William Bondareff, Ralph R. Kazer, Edward S. Ogata, Rebecca A. Simmons, Tae Sung Kim, Marc G. Reyes and Douglas L. Feinstein. Their work appears in journals such as Neurosurgery, Journal of neurosurgery, Journal of Neuro-Oncology, Journal of Neurosurgery Pediatrics and Neurochemical Research.

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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