Dan‐Arin Silasi

5.5k citations
85 papers · 3.0k · h-index 30

Impact in

Papers in

    • Endometrial and Cervical Cancer Treatments 13
    • Uterine Myomas and Treatments 10
    • HER2/EGFR in Cancer Research 10
    • Cancer Cells and Metastasis 8

Dan‐Arin Silasi

84 papers receiving 3.0k citations

Peers

Dan‐Arin Silasi
Comparison fields: 5 of 95
  • Obstetrics and Gynecology 414
  • Reproductive Medicine 425
  • Cancer Research 632
  • Oncology 991
  • Immunology 619
Replace Ivo Meinhold‐Heerlein with:
Ivo Meinhold‐Heerlein Germany
Beihua Kong China
Gustavo C. Rodriguez United States
Wenxin Zheng United States
Thomas L. Klug United States
Masafumi Koshiyama Japan
José I. Diaz United States
Eric L. Jenison United States
Shulan Zhang China
Dan‐Arin Silasi relative to Ivo Meinhold‐Heerlein Germany Ivo Meinhold‐Heerlein's profile →
Citations per field
00.5×2.7×
Ivo Meinhold‐Heerlein · 1×
Citations per year

Countries citing papers authored by Dan‐Arin Silasi

Since Specialization
Citations

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

Fields of papers citing papers by Dan‐Arin Silasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan‐Arin Silasi. 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 Dan‐Arin Silasi. The network helps show where Dan‐Arin Silasi may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan‐Arin Silasi, 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 Dan‐Arin Silasi Line = papers co-authored together Dan‐Arin Silasi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006424
2 2009397
3 2008256
4 2007142
5 2009132
6 201180
7 200978
8 201561
9 201759
10 201157
11 201057
12 201246
13 201345
14 200944
15 201244
16
MyD88 predicts chemoresistance to paclitaxel in epithelial ovarian cancer.
200643
17 201143
18 201342
19 201141
20 201040

About Dan‐Arin Silasi

Dan‐Arin Silasi is a scholar working on Obstetrics and Gynecology, Oncology, Molecular Biology, Reproductive Medicine and Immunology, having authored 85 papers that have together received 3.0k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (13 papers), Ovarian cancer diagnosis and treatment (12 papers), HER2/EGFR in Cancer Research (10 papers), Uterine Myomas and Treatments (10 papers), Cancer Cells and Metastasis (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Minimally Invasive Surgical Techniques (5 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Obstetrics and Gynecology (414 citations), Reproductive Medicine (425 citations), Cancer Research (632 citations), Oncology (991 citations) and Immunology (619 citations). Dan‐Arin Silasi has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Thomas Rutherford, Ayesha B. Alvero, Gil Mor, Peter E. Schwartz, Irene Visintin, Masoud Azodi, Alessandro D. Santin, Rui Chen, Michael Kelly and Han‐Hsuan Fu. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Journal of Clinical Oncology, Cancer Research and American Journal of Obstetrics and Gynecology.

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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