Paul Carmillo

1.6k total citations
16 papers, 1.1k citations indexed

About

Paul Carmillo is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Paul Carmillo has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Oncology. Recurrent topics in Paul Carmillo's work include Nerve injury and regeneration (3 papers), Polyomavirus and related diseases (3 papers) and Full-Duplex Wireless Communications (3 papers). Paul Carmillo is often cited by papers focused on Nerve injury and regeneration (3 papers), Polyomavirus and related diseases (3 papers) and Full-Duplex Wireless Communications (3 papers). Paul Carmillo collaborates with scholars based in United States, France and Spain. Paul Carmillo's co-authors include Richard L. Cate, Adrian Whitty, Richard Tizard, Nathalie di Clemente, Nathalie Josso, Christian W. Ehrenfels, R. Blake Pepinsky, Jean‐Yves Picard, B. Vigier and Craig M. Wilson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Paul Carmillo

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Carmillo United States 15 497 287 252 242 220 16 1.1k
Alexandre N. Ermilov United States 18 1.2k 2.5× 433 1.5× 102 0.4× 122 0.5× 509 2.3× 24 1.7k
Masako Tada Japan 19 2.8k 5.7× 96 0.3× 312 1.2× 112 0.5× 977 4.4× 42 3.1k
Rieko Ajima Japan 17 1.2k 2.3× 196 0.7× 54 0.2× 76 0.3× 291 1.3× 29 1.6k
Tsuyoshi Iida Japan 18 547 1.1× 27 0.1× 58 0.2× 244 1.0× 70 0.3× 40 998
Vasiliy Galat United States 16 753 1.5× 318 1.1× 89 0.4× 54 0.2× 186 0.8× 35 1.3k
André Monteiro da Rocha United States 19 633 1.3× 34 0.1× 239 0.9× 203 0.8× 129 0.6× 65 1.4k
Claudia Stewart United States 13 578 1.2× 107 0.4× 55 0.2× 175 0.7× 338 1.5× 15 1.4k
Steven L. Walker United States 13 404 0.8× 43 0.1× 19 0.1× 73 0.3× 173 0.8× 18 1.0k
Brice Marcet France 16 653 1.3× 38 0.1× 50 0.2× 96 0.4× 213 1.0× 24 1.2k
Shuang Wu United States 18 359 0.7× 42 0.1× 56 0.2× 132 0.5× 88 0.4× 34 966

Countries citing papers authored by Paul Carmillo

Since Specialization
Citations

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

Fields of papers citing papers by Paul Carmillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Carmillo

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

All Works

16 of 16 papers shown
1.
Pierre, Alice, Chrystèle Racine, Rodolfo A. Rey, et al.. (2016). Most Cleaved Anti-Müllerian Hormone Binds Its Receptor in Human Follicular Fluid but Little Is Competent in Serum. The Journal of Clinical Endocrinology & Metabolism. 101(12). 4618–4627. 23 indexed citations
2.
Wharton, Keith A., Catherine Quigley, Robert W. Dunstan, et al.. (2016). JC Polyomavirus Abundance and Distribution in Progressive Multifocal Leukoencephalopathy (PML) Brain Tissue Implicates Myelin Sheath in Intracerebral Dissemination of Infection. PLoS ONE. 11(5). e0155897–e0155897. 18 indexed citations
3.
Gorelik, Leonid, Carl E. Reid, Margot Brickelmaier, et al.. (2011). Progressive Multifocal Leukoencephalopathy (PML) Development Is Associated With Mutations in JC Virus Capsid Protein VP1 That Change Its Receptor Specificity. The Journal of Infectious Diseases. 204(1). 103–114. 127 indexed citations
4.
Reid, Carl E., Li Huo, Paul Carmillo, et al.. (2011). Sequencing and Analysis of JC Virus DNA From Natalizumab-Treated PML Patients. The Journal of Infectious Diseases. 204(2). 237–244. 99 indexed citations
5.
Clemente, Nathalie di, Soazik P. Jamin, Alexey A. Lugovskoy, et al.. (2010). Processing of Anti-Mullerian Hormone Regulates Receptor Activation by a Mechanism Distinct from TGF-β. Molecular Endocrinology. 24(11). 2193–2206. 106 indexed citations
6.
Belville, Corinne, Jean‐Didier Maréchal, Sophie Pennetier, et al.. (2009). Natural mutations of the anti-Mullerian hormone type II receptor found in persistent Mullerian duct syndrome affect ligand binding, signal transduction and cellular transport. Human Molecular Genetics. 18(16). 3002–3013. 39 indexed citations
7.
Silvian, Laura, Ping Jin, Paul Carmillo, et al.. (2006). Artemin Crystal Structure Reveals Insights into Heparan Sulfate Binding. Biochemistry. 45(22). 6801–6812. 40 indexed citations
8.
Schlee, Sandra, Paul Carmillo, & Adrian Whitty. (2006). Quantitative analysis of the activation mechanism of the multicomponent growth-factor receptor Ret. Nature Chemical Biology. 2(11). 636–644. 44 indexed citations
9.
Larsen, Kristin E., Susanna C. Benn, İlknur Ay, et al.. (2006). A glial cell line-derived neurotrophic factor (GDNF):tetanus toxin fragment C protein conjugate improves delivery of GDNF to spinal cord motor neurons in mice. Brain Research. 1120(1). 1–12. 32 indexed citations
10.
Carmillo, Paul, Eric S. Day, Dane Worley, et al.. (2005). Glial Cell Line-Derived Neurotrophic Factor (GDNF) Receptor α-1 (GFRα1) Is Highly Selective for GDNF versus Artemin. Biochemistry. 44(7). 2545–2554. 35 indexed citations
11.
Ehrenfels, Christian W., Paul Carmillo, Olivia Orozco, Richard L. Cate, & Michele Sanicola. (1999). Perturbation of RET signaling in the embryonic kidney. Developmental Genetics. 24(3-4). 263–272. 24 indexed citations
12.
Langer, Jerome A., Jianliang Yang, Paul Carmillo, & Leona Ling. (1998). Bovine type I interferon receptor protein BoIFNAR‐1 has high‐affinity and broad specificity for human type I interferons. FEBS Letters. 421(2). 131–135. 13 indexed citations
13.
Sanicola, Michele, Catherine Hession, Dane Worley, et al.. (1997). Glial cell line-derived neurotrophic factor-dependent RET activation can be mediated by two different cell-surface accessory proteins. Proceedings of the National Academy of Sciences. 94(12). 6238–6243. 253 indexed citations
14.
Dabrowski, Christine, Paul Carmillo, & Priscilla A. Schaffer. (1994). Cellular Protein Interactions with Herpes Simplex Virus Type 1 OriS. Molecular and Cellular Biology. 14(4). 2545–2555. 17 indexed citations
15.
Clemente, Nathalie di, Craig M. Wilson, Emilie Faure, et al.. (1994). Cloning, expression, and alternative splicing of the receptor for anti-Müllerian hormone.. Molecular Endocrinology. 8(8). 1006–1020. 238 indexed citations
16.
Dabrowski, C., Paul Carmillo, & P A Schaffer. (1994). Cellular protein interactions with herpes simplex virus type 1 oriS.. Molecular and Cellular Biology. 14(4). 2545–2555. 32 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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