Eva Sapi

56 papers receiving 2.1k citations

Peers

Eva Sapi
Comparison fields: 5 of 111
  • Parasitology 363
  • Immunology 675
  • Reproductive Medicine 232
  • Oncology 547
  • Obstetrics and Gynecology 140
Replace Thorsten Klamp with:
Thorsten Klamp Germany
Hisami Watanabe Japan
Jacqueline Y. Channon United States
Tsung-Hsien Chang Taiwan
David L. Boone United States
Sachi Tanaka Japan
Roba M. Talaat Egypt
Sebo Withoff Netherlands
María Elizbeth Álvarez-Sánchez Mexico
Eva Sapi relative to Thorsten Klamp Germany Thorsten Klamp's profile →
Citations per field
00.5×6.4×
Thorsten Klamp · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Eva Sapi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Sapi Line = papers co-authored together Eva Sapi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004251
2 2003148
3 2003136
4
FMS (CSF-1 receptor) and CSF-1 transcripts and protein are expressed by human breast carcinomas in vivo and in vitro.
1991113
5 2012108
6 200490
7 200084
8 199783
9 200472
10 200462
11 201762
12
Ets-2 transdominant mutant abolishes anchorage-independent growth and macrophage colony-stimulating factor-stimulated invasion by BT20 breast carcinoma cells.
199861
13 201660
14
Independent regulation of invasion and anchorage-independent growth by different autophosphorylation sites of the macrophage colony-stimulating factor 1 receptor.
199651
15
Transcriptional regulation of the c-fms (CSF-1R) proto-oncogene in human breast carcinoma cells by glucocorticoids.
199550
16 199949
17
Prognostic significance of colony-stimulating factor receptor expression in ipsilateral breast cancer recurrence.
199847
18 201346
19 201846
20 201545

About Eva Sapi

Eva Sapi is a scholar working on Parasitology, Molecular Biology, Genetics, Oncology and Infectious Diseases, having authored 58 papers that have together received 2.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (20 papers), Estrogen and related hormone effects (14 papers), Viral Infections and Vectors (7 papers), Cancer Cells and Metastasis (6 papers), Immune Response and Inflammation (5 papers), Chemokine receptors and signaling (5 papers), Rabies epidemiology and control (5 papers) and Yersinia bacterium, plague, ectoparasites research (4 papers). The work is most often cited by research in Parasitology (363 citations), Immunology (675 citations), Reproductive Medicine (232 citations), Oncology (547 citations) and Obstetrics and Gynecology (140 citations). Eva Sapi has collaborated with scholars based in United States, Canada and Austria. Frequent 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. Their work appears in journals such as Antibiotics, Oncogene, Journal of Cellular Biochemistry, Experimental Biology and Medicine and Laboratory Investigation.

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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