Dan‐Arin Silasi

5.5k citations
86 papers · 3.1k · 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

85 papers receiving 3.0k citations

Peers

Dan‐Arin Silasi
Comparison fields: 5 of 96
  • Obstetrics and Gynecology 430
  • Reproductive Medicine 441
  • Cancer Research 661
  • Oncology 1.0k
  • Immunology 645
Replace Ivo Meinhold‐Heerlein with:
Ivo Meinhold‐Heerlein Germany
Gustavo C. Rodriguez United States
Beihua Kong China
Thomas L. Klug United States
José I. Diaz United States
Masafumi Koshiyama Japan
Ernest Han United States
Vicki V. Baker United States
Shulan Zhang China
Dan‐Arin Silasi relative to Ivo Meinhold‐Heerlein Germany Ivo Meinhold‐Heerlein's profile →
Citations per field
00.5×2.6×
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 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006440
2 2009420
3 2008262
4 2007151
5 2009139
6 201183
7 200981
8 201063
9 201562
10 201760
11 201159
12 200947
13 201246
14 201346
15 201246
16
MyD88 predicts chemoresistance to paclitaxel in epithelial ovarian cancer.
200645
17 201343
18 201143
19 200942
20 201141

About Dan‐Arin Silasi

Dan‐Arin Silasi is a scholar working on Obstetrics and Gynecology, Oncology, Molecular Biology, Reproductive Medicine and Immunology, having authored 86 papers that have together received 3.1k 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 (430 citations), Reproductive Medicine (441 citations), Cancer Research (661 citations), Oncology (1.0k citations) and Immunology (645 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, Rui Chen, Alessandro D. Santin, Michael Kelly and Han‐Hsuan Fu. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, American Journal of Obstetrics and Gynecology, Cancer Research and Journal of Clinical Oncology.

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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