Denise M. Gibo

2.3k total citations
34 papers, 1.9k citations indexed

About

Denise M. Gibo is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Denise M. Gibo has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Immunology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Denise M. Gibo's work include Toxin Mechanisms and Immunotoxins (14 papers), CAR-T cell therapy research (7 papers) and Immunotherapy and Immune Responses (7 papers). Denise M. Gibo is often cited by papers focused on Toxin Mechanisms and Immunotoxins (14 papers), CAR-T cell therapy research (7 papers) and Immunotherapy and Immune Responses (7 papers). Denise M. Gibo collaborates with scholars based in United States, Australia and Denmark. Denise M. Gibo's co-authors include Waldemar Debinski, Jill Wykosky, G. Yancey Gillespie, Constance A. Stanton, Daniel J. Olson, Akiva Mintz, James R. Connor, Stanley W. Hulet, Becky Slagle‐Webb and Raj K. Puri and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Denise M. Gibo

33 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Denise M. Gibo United States 23 855 641 629 503 241 34 1.9k
Carol A. Kruse United States 24 592 0.7× 697 1.1× 603 1.0× 138 0.3× 369 1.5× 62 1.7k
Su Yang China 26 1.4k 1.7× 299 0.5× 550 0.9× 510 1.0× 89 0.4× 93 2.4k
Shimpei Nishikawa Japan 20 1.0k 1.2× 230 0.4× 344 0.5× 256 0.5× 143 0.6× 50 1.7k
Matthew A. Inlay United States 26 1.8k 2.1× 1.6k 2.4× 501 0.8× 131 0.3× 186 0.8× 37 3.6k
Sima Patel United States 6 1.0k 1.2× 1.3k 2.1× 867 1.4× 172 0.3× 53 0.2× 8 2.4k
Maxime Lehmann France 25 1.0k 1.2× 238 0.4× 351 0.6× 644 1.3× 85 0.4× 48 2.2k
A.K.M. Ghulam Muhammad United States 18 1000 1.2× 517 0.8× 303 0.5× 232 0.5× 655 2.7× 35 2.1k
Dolores Martínez Spain 16 1.7k 2.0× 735 1.1× 478 0.8× 109 0.2× 94 0.4× 22 2.7k
Bryan E. Strauss Brazil 22 935 1.1× 315 0.5× 504 0.8× 93 0.2× 347 1.4× 86 1.7k
Martha Chekenya Norway 25 755 0.9× 739 1.2× 763 1.2× 63 0.1× 578 2.4× 41 2.1k

Countries citing papers authored by Denise M. Gibo

Since Specialization
Citations

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

Fields of papers citing papers by Denise M. Gibo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denise M. Gibo. 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 Denise M. Gibo. The network helps show where Denise M. Gibo may publish in the future.

Co-authorship network of co-authors of Denise M. Gibo

This figure shows the co-authorship network connecting the top 25 collaborators of Denise M. Gibo. A scholar is included among the top collaborators of Denise M. Gibo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denise M. Gibo. Denise M. Gibo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Debinski, Waldemar, Analiz Rodriguez, Denise M. Gibo, et al.. (2014). FUNCTIONAL PRESENCE OF M2 MACROPHAGE MARKERS IN GBM TUMOR CELLS. Neuro-Oncology. 16(suppl 3). iii40–iii41. 2 indexed citations
2.
Rodriguez, Analiz, Denise M. Gibo, & Waldemar Debinski. (2014). ME-18 * INDUCTION OF M2 TYPE MACROPHAGES BY GBM CELLS. Neuro-Oncology. 16(suppl 5). v123–v123.
3.
Gmeiner, William H., et al.. (2013). Selective anti-tumor activity of the novel fluoropyrimidine polymer F10 towards G48a orthotopic GBM tumors. Journal of Neuro-Oncology. 116(3). 447–454. 22 indexed citations
4.
Debinski, Waldemar, Peter J. Dickinson, John H. Rossmeisl, John L. Robertson, & Denise M. Gibo. (2013). New Agents for Targeting of IL-13RA2 Expressed in Primary Human and Canine Brain Tumors. PLoS ONE. 8(10). e77719–e77719. 36 indexed citations
5.
Lively, Mark O., et al.. (2012). EphrinA1 Is Released in Three Forms from Cancer Cells by Matrix Metalloproteases. Molecular and Cellular Biology. 32(16). 3253–3264. 39 indexed citations
6.
Pandya, Hetal, Denise M. Gibo, Shivank Garg, Steven J. Kridel, & Waldemar Debinski. (2011). An interleukin 13 receptor α 2–specific peptide homes to human Glioblastoma multiforme xenografts. Neuro-Oncology. 14(1). 6–18. 59 indexed citations
7.
Gibo, Denise M., et al.. (2010). Molecular Targeting of Intracellular Compartments Specifically in Cancer Cells. Genes & Cancer. 1(5). 421–433. 10 indexed citations
8.
Mintz, Akiva, et al.. (2008). Protein- and DNA-Based Active Immunotherapy Targeting Interleukin-13 Receptor Alpha2. Cancer Biotherapy and Radiopharmaceuticals. 23(5). 581–589. 15 indexed citations
9.
Liu, Tie Fu, et al.. (2008). Reoxygenation of Hypoxic Glioblastoma Multiforme Cells Potentiates the Killing Effect of an Interleukin-13-Based Cytotoxin. Clinical Cancer Research. 15(1). 160–168. 11 indexed citations
10.
Wykosky, Jill, Denise M. Gibo, & Waldemar Debinski. (2007). A novel, potent, and specific ephrinA1-based cytotoxin against EphA2 receptor–expressing tumor cells. Molecular Cancer Therapeutics. 6(12). 3208–3218. 80 indexed citations
11.
Debinski, Waldemar, Denise M. Gibo, & Akiva Mintz. (2003). Epigenetics in High‐Grade Astrocytomas. Annals of the New York Academy of Sciences. 983(1). 232–242. 12 indexed citations
12.
Mintz, Akiva, Denise M. Gibo, Achuthamangalam B. Madhankumar, & Waldemar Debinski. (2003). Molecular targeting with recombinant cytotoxins of interleukin-13 receptor α2-expressing glioma. Journal of Neuro-Oncology. 64(1-2). 117–123. 31 indexed citations
13.
Mintz, Akiva, et al.. (2002). IL-13Rα2 is a Glioma-Restricted Receptor for Interleukin-13. Neoplasia. 4(5). 388–399. 115 indexed citations
14.
Debinski, Waldemar, et al.. (2000). Expression of a Restrictive Receptor for Interleukin 13 is Associated with Glial Transformation. Journal of Neuro-Oncology. 48(2). 103–111. 70 indexed citations
15.
Debinski, Waldemar, et al.. (1999). Receptor for interleukin 13 is abundantly and specifically over-expressed in patients with glioblastoma multiforme.. International Journal of Oncology. 15(3). 481–6. 75 indexed citations
16.
Debinski, Waldemar, Denise M. Gibo, Stanley W. Hulet, James R. Connor, & G. Yancey Gillespie. (1999). Receptor for interleukin 13 is a marker and therapeutic target for human high-grade gliomas.. PubMed. 5(5). 985–90. 217 indexed citations
17.
Olson, Daniel J. & Denise M. Gibo. (1998). Antisensewnt-5a Mimicswnt-1-Mediated C57MG Mammary Epithelial Cell Transformation. Experimental Cell Research. 241(1). 134–141. 87 indexed citations
18.
Debinski, Waldemar, et al.. (1998). Novel anti–brain tumor cytotoxins specific for cancer cells. Nature Biotechnology. 16(5). 449–453. 99 indexed citations
19.
Zagon, Ian S., et al.. (1991). Zeta (ξ), a growth-related opioid receptor in developing rat cerebellum: identification and characterization. Brain Research. 551(1-2). 28–35. 52 indexed citations
20.
Gibo, Denise M., et al.. (1990). Expression of Zeta ( ) a Growth-Related Opioid Receptor, in Metastetic Adenocarcinoma of the Human Cerebellum. JNCI Journal of the National Cancer Institute. 82(4). 325–327. 12 indexed citations

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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