Roberta P. Glick

2.4k citations
79 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 106
  • Endocrinology, Diabetes and Metabolism 505
  • Genetics 277
  • Neurology 321
  • Immunology 293
  • Oncology 314
Replace Jun‐ichi Kuratsu with:
Jun‐ichi Kuratsu Japan
Hirofumi Hirano Japan
Renato Spaziante Italy
Carmelo Anile Italy
Osamu Tachibana Japan
Knut Dietzmann Germany
Y Ushio Japan
Samuel Gebré‐Medhin Sweden
Tsugio Seki United States
Marian C. Neidert Switzerland
Roberta P. Glick relative to Jun‐ichi Kuratsu Japan Jun‐ichi Kuratsu's profile →
Citations per field
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Jun‐ichi Kuratsu · 1×
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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199397
2 197984
3 200683
4 198981
5 199965
6 199557
7 199056
8 198855
9 199550
10 198746
11 199745
12 198744
13 199942
14
Production of insulin-like growth factor-binding proteins by human central nervous system tumors.
199142
15 200941
16 198638
17 198337
18 199033
19 200232
20 199131

About Roberta P. Glick

Roberta P. Glick is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology, Molecular Biology, Immunology and Oncology, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (17 papers), Growth Hormone and Insulin-like Growth Factors (15 papers), Glioma Diagnosis and Treatment (11 papers), Neuroblastoma Research and Treatments (11 papers), Pituitary Gland Disorders and Treatments (10 papers), CAR-T cell therapy research (8 papers), Neuroendocrine Tumor Research Advances (8 papers) and Cancer Research and Treatments (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (505 citations), Genetics (277 citations), Neurology (321 citations), Immunology (293 citations) and Oncology (314 citations). Roberta P. Glick has collaborated with scholars based in United States, Myanmar and Spain. Frequent co-authors include Terry Lichtor, Terry G. Unterman, Edward P. Cohen, William Bondareff, Ralph R. Kazer, Rebecca A. Simmons, Edward S. Ogata, Tae Sung Kim, Marc G. Reyes and Douglas L. Feinstein. Their work appears in journals such as Neurosurgery, Journal of Neuro-Oncology, Journal of neurosurgery, Neurochemical Research 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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