Marta Piva

624 total citations
19 papers, 503 citations indexed

About

Marta Piva is a scholar working on Molecular Biology, Reproductive Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marta Piva has authored 19 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Reproductive Medicine and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marta Piva's work include Endometriosis Research and Treatment (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Uterine Myomas and Treatments (4 papers). Marta Piva is often cited by papers focused on Endometriosis Research and Treatment (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Uterine Myomas and Treatments (4 papers). Marta Piva collaborates with scholars based in United States, Argentina and Brazil. Marta Piva's co-authors include Kathy L. Sharpe-Timms, J. Ignacio Moreno, Gary M. Horowitz, Emily A. Ricke, Virginia Rider, Jorge H. Medina, Angel L. De Blas, Alejandro C. Paladini, Celia P. Miralles and Krystyna Surewicz and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Comparative Neurology and Biochemical and Biophysical Research Communications.

In The Last Decade

Marta Piva

19 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Piva United States 12 259 191 188 128 95 19 503
Hirofumi Haraguchi Japan 12 211 0.8× 313 1.6× 190 1.0× 81 0.6× 36 0.4× 19 560
Claudia Vercelli Argentina 12 50 0.2× 140 0.7× 63 0.3× 189 1.5× 60 0.6× 16 488
Roberta B. Todd United States 12 198 0.8× 65 0.3× 52 0.3× 111 0.9× 49 0.5× 16 569
Xingyu Zhou China 17 184 0.7× 100 0.5× 37 0.2× 243 1.9× 40 0.4× 44 614
Natalia A. Dorofeeva United States 7 81 0.3× 261 1.4× 71 0.4× 142 1.1× 43 0.5× 9 457
Christian Nunes da Silva United States 6 55 0.2× 56 0.3× 38 0.2× 58 0.5× 23 0.2× 11 320
Aveline Hewetson United States 15 47 0.2× 65 0.3× 20 0.1× 357 2.8× 69 0.7× 28 637
Mikhail Yu. Vysokikh Russia 14 88 0.3× 45 0.2× 108 0.6× 296 2.3× 16 0.2× 30 541
Virendra B. Mahesh United States 14 102 0.4× 46 0.2× 24 0.1× 116 0.9× 69 0.7× 20 435
I M Colin Belgium 10 120 0.5× 36 0.2× 14 0.1× 144 1.1× 52 0.5× 15 415

Countries citing papers authored by Marta Piva

Since Specialization
Citations

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

Fields of papers citing papers by Marta Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Piva

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

All Works

19 of 19 papers shown
1.
Moreno, J. Ignacio, et al.. (2020). Ccm1p is a 15S rRNA primary transcript processing factor as elucidated by a novel in vivo system in Saccharomyces cerevisiae. Current Genetics. 66(4). 775–789. 4 indexed citations
2.
Moreno, J. Ignacio, et al.. (2012). Two independent activities define Ccm1p as a moonlighting protein in Saccharomyces cerevisiae. Bioscience Reports. 32(6). 549–557. 10 indexed citations
3.
4.
Piva, Marta, et al.. (2005). In vitro Modulation of Cytokine Expression by Enkephalin-Derived Peptides. NeuroImmunoModulation. 12(6). 339–347. 18 indexed citations
5.
Piva, Marta, et al.. (2004). Modulation of Delayed-Type Hypersensitivity Responses in Hairless Guinea Pigs by Peptides Derived from Enkephalin. NeuroImmunoModulation. 11(3). 141–148. 7 indexed citations
6.
Piva, Marta, J. Ignacio Moreno, & Kathy L. Sharpe-Timms. (2002). Glycosylation and over-expression of endometriosis-associated peritoneal haptoglobin. Glycoconjugate Journal. 19(1). 33–41. 26 indexed citations
7.
Sharpe-Timms, Kathy L., et al.. (2002). Endometriotic haptoglobin binds to peritoneal macrophages and alters their function in women with endometriosis. Fertility and Sterility. 78(4). 810–819. 60 indexed citations
8.
Piva, Marta, et al.. (2001). Differential Regulation of Matrix Metalloproteinase-3 Gene Expression in Endometriotic Lesions Compared with Endometrium1. Biology of Reproduction. 65(4). 1297–1303. 69 indexed citations
9.
Piva, Marta, Gary M. Horowitz, & Kathy L. Sharpe-Timms. (2001). Interleukin-6 Differentially Stimulates Haptoglobin Production by Peritoneal and Endometriotic Cellsin Vitro: A Model for Endometrial-Peritoneal Interaction in Endometriosis1. The Journal of Clinical Endocrinology & Metabolism. 86(6). 2553–2561. 44 indexed citations
10.
Piva, Marta. (1999). Peritoneal endometriotic lesions differentially express a haptoglobin-like gene*. Molecular Human Reproduction. 5(1). 71–78. 27 indexed citations
11.
Sharpe-Timms, Kathy L., et al.. (1998). Endometriotic Lesions Synthesize and Secrete a Haptoglobin-Like Protein1. Biology of Reproduction. 58(4). 988–994. 46 indexed citations
12.
Piva, Marta, et al.. (1998). Human endometriosis differentially expresses a haptoglobin-like gene. Journal of the Society for Gynecologic Investigation. 5(1). 43A–43A. 1 indexed citations
13.
Piva, Marta, et al.. (1996). Growth Factor Control of Cultured Rat Uterine Stromal Cell Proliferation is Progesterone Dependent1. Biology of Reproduction. 55(6). 1333–1342. 43 indexed citations
14.
Rider, Virginia, Marta Piva, Michael E. Cohen, & Diana L. Carlone. (1995). Alternative splicing and differential targeting of fibroblast growth factor receptor 1 in the pregnant rat uterus.. Endocrinology. 136(7). 3137–3145. 20 indexed citations
15.
Moreno, J. Ignacio, Marta Piva, Celia P. Miralles, & Angel L. De Blas. (1994). Immunocytochemical localization of the β2subunit of the gamma‐aminobutyric acidAreceptor in the rat brain. The Journal of Comparative Neurology. 350(2). 260–271. 33 indexed citations
16.
Medina, Jorge H., C. Peña, Marta Piva, et al.. (1992). Benzodiazepines in the brain. Molecular Neurobiology. 6(4). 377–386. 7 indexed citations
17.
Peña, C., Jorge H. Medina, Marta Piva, et al.. (1991). Naturally occurring benzodiazepines in human milk. Biochemical and Biophysical Research Communications. 175(3). 1042–1050. 9 indexed citations
18.
Piva, Marta, Jorge H. Medina, Angel L. De Blas, & C. Peña. (1991). Formation of benzodiazepine-like molecules in rat brain. Biochemical and Biophysical Research Communications. 180(2). 972–981. 11 indexed citations
19.
Medina, Jorge H., et al.. (1988). Presence of benzodiazepine-like molecules in mammalian brain and milk. Biochemical and Biophysical Research Communications. 152(2). 534–539. 48 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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