Michael Curcio

1.7k total citations
16 papers, 1.4k citations indexed

About

Michael Curcio is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Michael Curcio has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Michael Curcio's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Radiopharmaceutical Chemistry and Applications (8 papers) and CAR-T cell therapy research (5 papers). Michael Curcio is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Radiopharmaceutical Chemistry and Applications (8 papers) and CAR-T cell therapy research (5 papers). Michael Curcio collaborates with scholars based in United States and Russia. Michael Curcio's co-authors include David A. Scheinberg, Michael R. McDevitt, Lawrence Lai, Dangshe Ma, Neil H. Bander, Ronald D. Finn, Jim Simón, Matthias Miederer, Karen Wu and Paul E. Borchardt and has published in prestigious journals such as Science, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Michael Curcio

16 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Curcio United States	12	907	592	305	301	296	16	1.4k
Maria J.W.D. Vosjan Netherlands	18	1.6k 1.8×	701 1.2×	458 1.5×	220 0.7×	588 2.0×	23	2.1k
Isabelle Navarro‐Teulon France	21	851 0.9×	410 0.7×	285 0.9×	223 0.7×	416 1.4×	42	1.3k
Lawrence Lai United States	11	557 0.6×	381 0.6×	252 0.8×	195 0.6×	308 1.0×	12	1.2k
Sydney Welt United States	20	696 0.8×	327 0.6×	226 0.7×	329 1.1×	680 2.3×	35	1.3k
D M Goldenberg United States	29	1.4k 1.6×	699 1.2×	285 0.9×	286 1.0×	563 1.9×	85	2.1k
Fiona E. Smyth Australia	23	622 0.7×	625 1.1×	162 0.5×	261 0.9×	526 1.8×	39	1.3k
Marijke Stigter‐van Walsum Netherlands	27	1.3k 1.5×	792 1.3×	399 1.3×	335 1.1×	948 3.2×	38	2.3k
Sven Golfier Germany	16	408 0.4×	469 0.8×	244 0.8×	182 0.6×	477 1.6×	24	1.3k
Paul L. Beaumier United States	25	1.4k 1.5×	480 0.8×	230 0.8×	218 0.7×	574 1.9×	37	1.9k
Mary Brummet United States	22	452 0.5×	369 0.6×	414 1.4×	365 1.2×	355 1.2×	47	1.3k

Countries citing papers authored by Michael Curcio

Since Specialization

Citations

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

Fields of papers citing papers by Michael Curcio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Curcio. 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 Michael Curcio. The network helps show where Michael Curcio may publish in the future.

Co-authorship network of co-authors of Michael Curcio

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Curcio. A scholar is included among the top collaborators of Michael Curcio 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 Michael Curcio. Michael Curcio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Klatt, Martin G., et al.. (2020). An input-controlled model system for identification of MHC bound peptides enabling laboratory comparisons of immunopeptidome experiments. Journal of Proteomics. 228. 103921–103921. 2 indexed citations

Chang, Aaron Y., Tao Dao, Ron S. Gejman, et al.. (2017). A therapeutic T cell receptor mimic antibody targets tumor-associated PRAME peptide/HLA-I antigens. Journal of Clinical Investigation. 127(7). 2705–2718. 68 indexed citations

Dao, Tao, Dmitry Pankov, Andrew Scott, et al.. (2015). Therapeutic bispecific T-cell engager antibody targeting the intracellular oncoprotein WT1. Nature Biotechnology. 33(10). 1079–1086. 126 indexed citations

Veomett, Nicholas, Tao Dao, Hong Liu, et al.. (2014). Therapeutic Efficacy of an Fc-Enhanced TCR-like Antibody to the Intracellular WT1 Oncoprotein. Clinical Cancer Research. 20(15). 4036–4046. 41 indexed citations

Dao, Tao, Su Yan, Nicholas Veomett, et al.. (2013). Targeting the Intracellular WT1 Oncogene Product with a Therapeutic Human Antibody. Science Translational Medicine. 5(176). 176ra33–176ra33. 136 indexed citations

Pankov, Dmitry, Tao Dao, Andrew Scott, et al.. (2013). A Bi-Specific T Cell Engaging Monoclonal Antibody (mAb) Derived From a TCR-Like Mab Specific For WT1/HLA-A0201 (ESK-BiTE) Shows a Potent Activity Against Human AML and Ph+ ALL In Mouse Models. Blood. 122(21). 2521–2521. 2 indexed citations

Antczak, Christophe, Jaspreet Singh Jaggi, Clare V. LeFave, et al.. (2006). Influence of the Linker on the Biodistribution and Catabolism of Actinium-225 Self-Immolative Tumor-Targeted Isotope Generators. Bioconjugate Chemistry. 17(6). 1551–1560. 28 indexed citations

Bonavia, Anthony, Michael R. McDevitt, Michael Curcio, & David A. Scheinberg. (2005). Immunoreactivity assay for -particle emitting monoclonal antibody constructs. Applied Radiation and Isotopes. 64(4). 470–474. 4 indexed citations

McDevitt, Michael R., Dangshe Ma, Lawrence Lai, et al.. (2001). Tumor Therapy with Targeted Atomic Nanogenerators. Science. 294(5546). 1537–1540. 381 indexed citations

10.

McDevitt, Michael R., E Barendswaard, Dangshe Ma, et al.. (2000). An alpha-particle emitting antibody ([213Bi]J591) for radioimmunotherapy of prostate cancer.. PubMed. 60(21). 6095–100. 215 indexed citations

11.

Nikula, Tuomo, Michael R. McDevitt, Ronald D. Finn, et al.. (1999). Alpha-emitting bismuth cyclohexylbenzyl DTPA constructs of recombinant humanized anti-CD33 antibodies: pharmacokinetics, bioactivity, toxicity and chemistry.. PubMed. 40(1). 166–76. 156 indexed citations

12.

Curcio, Michael, James Gibbs, & Gerard P. Smith. (1997). The Effect of Centrally Administered CCK-Receptor Antagonists on Food Intake in Rats. Physiology & Behavior. 61(6). 823–827. 27 indexed citations

13.

Weisburg, Jeffrey H., et al.. (1996). The multidrug resistance phenotype confers immunological resistance.. The Journal of Experimental Medicine. 183(6). 2699–2704. 52 indexed citations

14.

Nikula, Tuomo, Michael Curcio, Martin W. Brechbiel, et al.. (1995). A rapid, single vessel method for preparation of clinical grade ligand conjugated monoclonal antibodies. Nuclear Medicine and Biology. 22(3). 387–390. 60 indexed citations

15.

Nikula, Tuomo, Monica Bocchia, Michael Curcio, et al.. (1995). Impact of the high tyrosine fraction in complementarity determining regions: measured and predicted effects of radioiodination on IgG immunoreactivity. Molecular Immunology. 32(12). 865–872. 71 indexed citations

16.

Nikula, Tuomo, R.D. Finn, Otto A. Gansow, et al.. (1994). Alpha particle emitting constructs of recomblnant humanized antl-CD33 for myelold teukemlas. Journal of Immunotherapy. 16(2). 149–149. 1 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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