Eva Sapi

2.8k total citations
58 papers, 2.2k citations indexed

About

Eva Sapi is a scholar working on Parasitology, Molecular Biology and Genetics. According to data from OpenAlex, Eva Sapi has authored 58 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Parasitology, 20 papers in Molecular Biology and 19 papers in Genetics. Recurrent topics in Eva Sapi's work include Vector-borne infectious diseases (20 papers), Estrogen and related hormone effects (14 papers) and Viral Infections and Vectors (7 papers). Eva Sapi is often cited by papers focused on Vector-borne infectious diseases (20 papers), Estrogen and related hormone effects (14 papers) and Viral Infections and Vectors (7 papers). Eva Sapi collaborates with scholars based in United States, Austria and Canada. Eva Sapi's co-authors include Barry M. Kacinski, Gil Mor, Maryann B. Flick, Thomas Rutherford, Sofya Rodov, Priyanka A. S. Theophilus, Ayesha B. Alvero, Mazin Β. Qumsiyeh, Joon Ho Song and Marijke Kamsteeg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Eva Sapi

56 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Sapi United States 27 806 675 547 398 363 58 2.2k
Thorsten Klamp Germany 11 745 0.9× 1.9k 2.8× 715 1.3× 182 0.5× 161 0.4× 13 3.0k
Hisami Watanabe Japan 32 782 1.0× 2.4k 3.6× 470 0.9× 217 0.5× 195 0.5× 129 4.0k
Tsung-Hsien Chang Taiwan 24 1.1k 1.3× 1.2k 1.8× 331 0.6× 144 0.4× 95 0.3× 87 2.6k
Sachi Tanaka Japan 22 492 0.6× 368 0.5× 505 0.9× 77 0.2× 226 0.6× 84 1.8k
Sebo Withoff Netherlands 27 1.5k 1.9× 986 1.5× 409 0.7× 440 1.1× 103 0.3× 63 3.5k
David L. Boone United States 23 2.4k 3.0× 1.9k 2.8× 569 1.0× 341 0.9× 64 0.2× 43 4.4k
Jacqueline Y. Channon United States 21 775 1.0× 559 0.8× 150 0.3× 103 0.3× 320 0.9× 31 1.9k
Thierry Idziorek France 23 829 1.0× 917 1.4× 180 0.3× 153 0.4× 94 0.3× 53 2.3k
Joseph E. Qualls United States 25 899 1.1× 1.6k 2.3× 276 0.5× 181 0.5× 108 0.3× 39 2.9k
Christelle Faveeuw France 36 817 1.0× 2.2k 3.2× 421 0.8× 291 0.7× 367 1.0× 73 3.6k

Countries citing papers authored by Eva Sapi

Since Specialization
Citations

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

Fields of papers citing papers by Eva Sapi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Sapi

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Sapi. A scholar is included among the top collaborators of Eva Sapi 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 Eva Sapi. Eva Sapi 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.
2.
Zhang, Min, et al.. (2024). Establishing a Zebrafish Model for Borrelia burgdorferi Infection Using Immersion and Microinjection Methods. Methods in molecular biology. 2742. 131–149. 1 indexed citations
3.
Melillo, Anthony, et al.. (2023). Global transcriptomic analysis of breast cancer and normal mammary epithelial cells infected with Borrelia burgdorferi. European Journal of Microbiology and Immunology. 13(3). 63–76. 3 indexed citations
4.
Horowitz, Richard I., et al.. (2020). Effect of dapsone alone and in combination with intracellular antibiotics against the biofilm form of B. burgdorferi. BMC Research Notes. 13(1). 455–455. 8 indexed citations
5.
Middelveen, Marianne J., et al.. (2020). <p>Classification and Staging of Morgellons Disease: Lessons from Syphilis</p>. Clinical Cosmetic and Investigational Dermatology. Volume 13. 145–164. 5 indexed citations
6.
Theophilus, Priyanka A. S., et al.. (2015). Biofilm formation byBorrelia burgdorferisensu lato. FEMS Microbiology Letters. 362(15). fnv120–fnv120. 24 indexed citations
7.
Sapi, Eva, Cedric Mpoy, Amy Rattelle, et al.. (2012). Characterization of Biofilm Formation by Borrelia burgdorferi In Vitro. PLoS ONE. 7(10). e48277–e48277. 108 indexed citations
8.
Krikun, Graciela, Gil Mor, Ayesha B. Alvero, et al.. (2004). A Novel Immortalized Human Endometrial Stromal Cell Line with Normal Progestational Response. Endocrinology. 145(5). 2291–2296. 251 indexed citations
9.
Kluger, Harriet M., Yuval Kluger, Maureen Gilmore-Hebert, et al.. (2004). cDNA microarray analysis of invasive and tumorigenic phenotypes in a breast cancer model. Laboratory Investigation. 84(3). 320–331. 62 indexed citations
10.
Alvero, Ayesha B., et al.. (2004). Improved method for the detection of cytokeratin 19-positive cells in the peripheral blood of breast cancer patients. Laboratory Investigation. 84(5). 658–661. 7 indexed citations
11.
Kamsteeg, Marijke, Thomas Rutherford, Eva Sapi, et al.. (2003). Phenoxodiol – an isoflavone analog – induces apoptosis in chemoresistant ovarian cancer cells. Oncogene. 22(17). 2611–2620. 148 indexed citations
12.
Sapi, Eva, et al.. (2002). Detection of telomerase-positive circulating epithelial cells in ovarian cancer patients. Cancer Detection and Prevention. 26(2). 158–167. 21 indexed citations
13.
Zhang, Lixin, Hakan Akbulut, Yucheng Tang, et al.. (2002). Adenoviral Vectors with E1A Regulated by Tumor-Specific Promoters Are Selectively Cytolytic for Breast Cancer and Melanoma. Molecular Therapy. 6(3). 386–393. 37 indexed citations
14.
Song, Joon Ho, Eva Sapi, Jon Nilsen, et al.. (2000). Roles of Fas and Fas ligand during mammary gland remodeling. Journal of Clinical Investigation. 106(10). 1209–1220. 84 indexed citations
15.
Rutherford, Thomas, et al.. (2000). Absence of Estrogen Receptor-β Expression in Metastatic Ovarian Cancer. Obstetrics and Gynecology. 96(3). 417–421. 9 indexed citations
16.
Kacinski, Barry M., et al.. (1999). Signal transduction pathways regulated by CSF-1 receptors modulate the in vitro radiosensitivity of mammary epithelial cells. International Journal of Radiation Oncology*Biology*Physics. 45(4). 969–973. 3 indexed citations
17.
Sapi, Eva, et al.. (1998). Expression of CSF-I and CSF-I receptor by normal lactating mammary epithelial cells. Journal of the Society for Gynecologic Investigation. 5(2). 94–101. 31 indexed citations
18.
Flick, Maryann B., Eva Sapi, Peter L. Perrotta, et al.. (1997). Recognition of activated CSF-1 receptor in breast carcinomas by a tyrosine 723 phosphospecific antibody. Oncogene. 14(21). 2553–2561. 39 indexed citations
19.
Sapi, Eva, Maryann B. Flick, & Barry M. Kacinski. (1994). The First Intron of Human c-fms Proto-oncogene Contains a Processed Pseudogene (RPL7P) for Ribosomal Protein L7. Genomics. 22(3). 641–645. 3 indexed citations
20.
Tompa, Anna & Eva Sapi. (1989). Detection of 6-thioguanine resistance in human peripheral blood lymphocytes (PBL) of industrial workers and lung cancer patients. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 210(2). 345–351. 21 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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