Doris R. Siwak

2.5k citations
27 papers · 1.7k indexed · h-index 18

Doris R. Siwak

27 papers receiving 1.6k citations

Peers

Doris R. Siwak
Comparison fields: 5 of 102
  • Molecular Medicine 114
  • Oncology 462
  • Molecular Biology 1.2k
  • Cancer Research 224
  • Immunology and Allergy 53
Replace Sally A. Prigent with:
Sally A. Prigent United Kingdom
Kang Jin Jeong United States
Jun Rao China
Aruna Basu United States
Younghyoun Yoon United States
Alexander Pintzas Greece
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Huiling Yang China
Fei-Meng Zheng China
Mei‐Chih Liang United States
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Citations per field
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Citations per year

Countries citing papers authored by Doris R. Siwak

Since Specialization
Citations

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

Fields of papers citing papers by Doris R. Siwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doris R. Siwak. 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 Doris R. Siwak. The network helps show where Doris R. Siwak may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Doris R. Siwak, 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 Doris R. Siwak Line = papers co-authored together Doris R. Siwak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202213
2 20217
3 20204
4 201912
5 201936
6 201920
7 201339
8 201318
9 201263
10 200923
11 200866
12 2007360
13 200758
14
Identification of selective inhibition of phospho-S6 ribosomal protein in XK469 sensitive leukemia cell lines using functional proteomic analysis
20052
15 2005192
16 20047
17 200421
18 20045
19
The potential of drug-carrying immunoliposomes as anticancer agents. Commentary re: J. W. Park et al., Anti-HER2 immunoliposomes: enhanced efficacy due to targeted delivery. Clin. Cancer Res., 8: 1172-1181, 2002.
200237
20 2002173

About Doris R. Siwak

Doris R. Siwak is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Biosensing Techniques and Applications (4 papers), Advanced Proteomics Techniques and Applications (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Peptidase Inhibition and Analysis (3 papers), Retinoids in leukemia and cellular processes (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Molecular Medicine (114 citations), Oncology (462 citations) and Molecular Biology (1.2k citations). Doris R. Siwak has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Gordon B. Mills, Bharat B. Aggarwal, Shishir Shishodia, Razelle Kurzrock, Yiling Lu, T. Christopher Windham, Gary E. Gallick, Justin M. Summy, Alan J. Kraker and David J. McConkey. Their work appears in journals such as Nature Communications, Nature Genetics and Bioinformatics.

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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