Gregory P. Botta

1.2k citations
38 papers · 828 · h-index 13

Impact in

    • Electrospun Nanofibers in Biomedical Applications
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

    • Pancreatic and Hepatic Oncology Research 11
    • Cancer Immunotherapy and Biomarkers 8
    • Cancer Cells and Metastasis 8
    • CAR-T cell therapy research 4
    • Cancer Genomics and Diagnostics 11

Gregory P. Botta

37 papers receiving 823 citations

Peers

Gregory P. Botta
Comparison fields: 5 of 74
  • Biomaterials 251
  • Oncology 246
  • Cancer Research 115
  • Biomedical Engineering 292
  • Urology 29
Replace Yoshinosuke Hamada with:
Yoshinosuke Hamada Japan
Bolei Cai China
Xichao Zhou China
Naser Ahmadbeigi Iran
Elias Volkmer Germany
Shengwei Han China
Fengjin Zhou China
Stephanie Grainger United States
Zhouming Deng China
Minerva Hughes United States
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Citations per field
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Citations per year

Countries citing papers authored by Gregory P. Botta

Since Specialization
Citations

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

Fields of papers citing papers by Gregory P. Botta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012319
2 201365
3 202161
4 202151
5 202244
6 201138
7 202227
8 202321
9 200620
10 202418
11 201318
12 202213
13 201812
14 202311
15 202411
16 202211
17 20239
18 20179
19 20098
20
Challenges and prospects of CSF1R targeting for advanced malignancies.
20238

About Gregory P. Botta

Gregory P. Botta is a scholar working on Oncology, Cancer Research, Surgery, Immunology and Molecular Biology, having authored 38 papers that have together received 828 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Pancreatic and Hepatic Oncology Research (11 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cancer Cells and Metastasis (8 papers), CAR-T cell therapy research (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Immunotherapy and Immune Responses (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Biomaterials (251 citations), Oncology (246 citations), Cancer Research (115 citations), Biomedical Engineering (292 citations) and Urology (29 citations). Gregory P. Botta has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Peter I. Lelkes, Ulrike G. K. Wegst, Anna Katsman, P. Lazarovici, Caroline L. Schauer, Michael Frohbergh, Maximilian Reichert, Anil K. Rustgi, Steffen Heeg and Hitendra Patel. Their work appears in journals such as Journal of Clinical Oncology, Nature Protocols, JCO Precision Oncology, npj Genomic Medicine and The FASEB Journal.

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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