Jose F. Ponte

2.6k total citations · 1 hit paper
34 papers, 1.7k citations indexed

About

Jose F. Ponte is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jose F. Ponte has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 12 papers in Molecular Biology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jose F. Ponte's work include HER2/EGFR in Cancer Research (16 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Epigenetics and DNA Methylation (5 papers). Jose F. Ponte is often cited by papers focused on HER2/EGFR in Cancer Research (16 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Epigenetics and DNA Methylation (5 papers). Jose F. Ponte collaborates with scholars based in United States, United Kingdom and Germany. Jose F. Ponte's co-authors include Sam Thiagalingam, Kuang‐Hung Cheng, Arunthathi Thiagalingam, Nora D. Mineva, Hyunjoo Jean Lee, Hongjie Pan, Hamid M. Abdolmaleky, Panagiotis Papageorgis, Ming T. Tsuang and Rahim Shafa and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Jose F. Ponte

33 papers receiving 1.7k citations

Hit Papers

Histone Deacetylases: Unique Players in Shaping the Epige... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jose F. Ponte United States 16 1.1k 461 275 215 180 34 1.7k
Weidong Jin China 22 972 0.9× 583 1.3× 112 0.4× 174 0.8× 318 1.8× 87 1.9k
Shiuh‐Wen Luoh United States 21 565 0.5× 538 1.2× 295 1.1× 95 0.4× 148 0.8× 39 1.3k
Todd A. Swanson United States 18 1.6k 1.5× 504 1.1× 367 1.3× 106 0.5× 236 1.3× 39 2.4k
Ron Loewenthal Israel 24 1.1k 1.0× 187 0.4× 192 0.7× 71 0.3× 63 0.3× 52 2.2k
Ningping Feng United States 23 607 0.6× 521 1.1× 222 0.8× 72 0.3× 134 0.7× 65 1.7k
Elizabeth O’Donnell United States 25 1.2k 1.1× 815 1.8× 116 0.4× 72 0.3× 73 0.4× 116 2.4k
Hennie T. Brüggenwirth Netherlands 25 1.3k 1.3× 255 0.6× 786 2.9× 54 0.3× 209 1.2× 73 2.1k
Michelle Russell United States 10 1.1k 1.0× 423 0.9× 63 0.2× 437 2.0× 324 1.8× 16 2.5k
Brian R. Rood United States 25 983 0.9× 282 0.6× 80 0.3× 63 0.3× 273 1.5× 55 1.7k
Pablo Hernáiz Driever Germany 34 1.2k 1.1× 408 0.9× 245 0.9× 229 1.1× 201 1.1× 143 3.1k

Countries citing papers authored by Jose F. Ponte

Since Specialization
Citations

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

Fields of papers citing papers by Jose F. Ponte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jose F. Ponte. 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 Jose F. Ponte. The network helps show where Jose F. Ponte may publish in the future.

Co-authorship network of co-authors of Jose F. Ponte

This figure shows the co-authorship network connecting the top 25 collaborators of Jose F. Ponte. A scholar is included among the top collaborators of Jose F. Ponte 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 Jose F. Ponte. Jose F. Ponte 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.
Ponte, Jose F., Leanne Lanieri, Eshita Khera, et al.. (2020). Antibody Co-Administration Can Improve Systemic and Local Distribution of Antibody–Drug Conjugates to Increase In Vivo Efficacy. Molecular Cancer Therapeutics. 20(1). 203–212. 29 indexed citations
2.
Qiu, Qifeng, Jose F. Ponte, Leanne Lanieri, et al.. (2019). Peptide-Cleavable Self-immolative Maytansinoid Antibody–Drug Conjugates Designed To Provide Improved Bystander Killing. ACS Medicinal Chemistry Letters. 10(10). 1393–1399. 18 indexed citations
3.
Archer, Katie E., James R. Woods, Luke Harris, et al.. (2019). Synthesis of Highly Potent N-10 Amino-Linked DNA-Alkylating Indolinobenzodiazepine Antibody–Drug Conjugates (ADCs). ACS Medicinal Chemistry Letters. 10(8). 1211–1215. 9 indexed citations
4.
Archer, Katie E., Erin K. Maloney, Olga Ab, et al.. (2019). Design, synthesis and evaluation of novel, potent DNA alkylating agents and their antibody-drug conjugates (ADCs). Bioorganic & Medicinal Chemistry Letters. 29(17). 2455–2458. 5 indexed citations
5.
Brand, Christian, Jacob L. Houghton, Jose F. Ponte, et al.. (2018). Leveraging PET to image folate receptor α therapy of an antibody-drug conjugate. EJNMMI Research. 8(1). 87–87. 15 indexed citations
6.
Hicks, Stuart W., Katharine C. Lai, L. Cristina Gavrilescu, et al.. (2017). The Antitumor Activity of IMGN529, a CD37-Targeting Antibody-Drug Conjugate, Is Potentiated by Rituximab in Non-Hodgkin Lymphoma Models. Neoplasia. 19(9). 661–671. 27 indexed citations
9.
Singh, Rajeeva, Nathan Fishkin, Yelena Kovtun, et al.. (2013). Abstract C164: New tri-glycyl peptide linker offers advantages for maytansinoid antibody-drug conjugates (ADCs).. Molecular Cancer Therapeutics. 12(11_Supplement). C164–C164.
10.
Ponte, Jose F., Xiuxia Sun, Nicholas C. Yoder, et al.. (2013). Abstract 5677: The anti-EGFR ADC, IMGN289 displays favorable pharmacokinetic properties.. Cancer Research. 73(8_Supplement). 5677–5677. 1 indexed citations
11.
Chittenden, Thomas, Yulius Y. Setiady, Peter U. Park, et al.. (2013). Abstract 5467: IMGN289, an EGFR-targeting antibody-maytansinoid conjugate with potent activity against non-small cell lung cancer (NSCLC) regardless of dependency on EGFR pathway.. Cancer Research. 73(8_Supplement). 5467–5467. 3 indexed citations
12.
Ponte, Jose F., Paul Ponath, Michael J. Paglia, et al.. (2010). Enhancement of humoral and cellular immunity with an anti‐glucocorticoid‐induced tumour necrosis factor receptor monoclonal antibody. Immunology. 130(2). 231–242. 21 indexed citations
13.
Ponte, Jose F., et al.. (2010). Development of TRX518, an aglycosyl humanized monoclonal antibody (Mab) agonist of huGITR.. Journal of Clinical Oncology. 28(15_suppl). e13028–e13028. 16 indexed citations
14.
Ponte, Jose F., Panagiotis Papageorgis, Sait Öztürk, et al.. (2009). hBub1 negatively regulates p53 mediated early cell death upon mitotic checkpoint activation. Cancer Biology & Therapy. 8(7). 636–644. 13 indexed citations
15.
Ponte, Jose F., Panagiotis Papageorgis, Sait Öztürk, et al.. (2009). hBub1 deficiency triggers a novel p53 mediated early apoptotic checkpoint pathway in mitotic spindle damaged cells. Cancer Biology & Therapy. 8(7). 627–635. 11 indexed citations
16.
Abdolmaleky, Hamid M., Kuang‐Hung Cheng, Stephen V. Faraone, et al.. (2006). Hypomethylation of MB-COMT promoter is a major risk factor for schizophrenia and bipolar disorder. Human Molecular Genetics. 15(21). 3132–3145. 346 indexed citations
17.
Pan, Hongjie, Joseph A. Califano, Jose F. Ponte, et al.. (2005). Loss of Heterozygosity Patterns Provide Fingerprints for Genetic Heterogeneity in Multistep Cancer Progression of Tobacco Smoke–Induced Non–Small Cell Lung Cancer. Cancer Research. 65(5). 1664–1669. 44 indexed citations
18.
Cheng, Kuang‐Hung, Jose F. Ponte, & Sam Thiagalingam. (2004). Elucidation of Epigenetic Inactivation of SMAD8 in Cancer Using Targeted Expressed Gene Display. Cancer Research. 64(5). 1639–1646. 32 indexed citations
19.
Thiagalingam, Sam, Kuang‐Hung Cheng, Hyunjoo Jean Lee, et al.. (2003). Histone Deacetylases: Unique Players in Shaping the Epigenetic Histone Code. Annals of the New York Academy of Sciences. 983(1). 84–100. 555 indexed citations breakdown →
20.
Thiagalingam, Sam, et al.. (2002). Loss of heterozygosity as a predictor to map tumor suppressor genes in cancer: molecular basis of its occurrence. Current Opinion in Oncology. 14(1). 65–72. 86 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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