Gul S. Dalgin

516 total citations
12 papers, 400 citations indexed

About

Gul S. Dalgin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Gul S. Dalgin has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Gul S. Dalgin's work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (6 papers) and Renal cell carcinoma treatment (3 papers). Gul S. Dalgin is often cited by papers focused on Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (6 papers) and Renal cell carcinoma treatment (3 papers). Gul S. Dalgin collaborates with scholars based in United States and India. Gul S. Dalgin's co-authors include Charles DeLisi, Gyan Bhanot, Gabriela Alexe, Shridar Ganesan, Louis S. Liou, Jill P. Mesirov, Pablo Tamayo, Daniel Scanfeld, Nicola Barnard and Arnold J. Levine and has published in prestigious journals such as Cancer Research, The Journal of Urology and BMC Bioinformatics.

In The Last Decade

Gul S. Dalgin

12 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gul S. Dalgin United States 9 190 151 122 78 64 12 400
Ondina Popescu Italy 13 190 1.0× 139 0.9× 86 0.7× 83 1.1× 64 1.0× 24 430
Amr H. Allam Australia 10 193 1.0× 173 1.1× 110 0.9× 62 0.8× 57 0.9× 15 423
Hongxia Sun United States 10 238 1.3× 152 1.0× 115 0.9× 52 0.7× 45 0.7× 17 412
Janos Vasko Sweden 11 213 1.1× 109 0.7× 183 1.5× 40 0.5× 198 3.1× 16 466
Christine Y. Shiang United States 8 216 1.1× 193 1.3× 191 1.6× 45 0.6× 60 0.9× 13 427
Pedro Marques Ramos Switzerland 9 251 1.3× 161 1.1× 90 0.7× 65 0.8× 62 1.0× 18 557
Hyun Min Koh South Korea 12 200 1.1× 97 0.6× 89 0.7× 61 0.8× 125 2.0× 41 427
Jelmar Quist United Kingdom 10 127 0.7× 102 0.7× 72 0.6× 29 0.4× 39 0.6× 22 259
Fee Klupp Germany 11 232 1.2× 295 2.0× 195 1.6× 106 1.4× 71 1.1× 19 548
He Ren China 12 148 0.8× 138 0.9× 95 0.8× 67 0.9× 99 1.5× 39 478

Countries citing papers authored by Gul S. Dalgin

Since Specialization
Citations

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

Fields of papers citing papers by Gul S. Dalgin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gul S. Dalgin. 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 Gul S. Dalgin. The network helps show where Gul S. Dalgin may publish in the future.

Co-authorship network of co-authors of Gul S. Dalgin

This figure shows the co-authorship network connecting the top 25 collaborators of Gul S. Dalgin. A scholar is included among the top collaborators of Gul S. Dalgin 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 Gul S. Dalgin. Gul S. Dalgin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Biénkowska, Jadwiga, Gul S. Dalgin, Franak Batliwalla, et al.. (2009). Convergent random forest predictor: Methodology for predicting drug response from genome-scale data applied to anti-TNF response. Genomics. 94(6). 423–432. 36 indexed citations
2.
Dalgin, Gul S., et al.. (2008). Identification of Novel Epigenetic Markers for Clear Cell Renal Cell Carcinoma. The Journal of Urology. 180(3). 1126–1130. 42 indexed citations
3.
Alexe, Gabriela, Gul S. Dalgin, Daniel Scanfeld, et al.. (2007). High Expression of Lymphocyte-Associated Genes in Node-Negative HER2+ Breast Cancers Correlates with Lower Recurrence Rates. Cancer Research. 67(22). 10669–10676. 166 indexed citations
4.
Alexe, Gabriela, Gul S. Dalgin, Shridar Ganesan, Charles DeLisi, & Gyan Bhanot. (2007). Analysis of breast cancer progression using principal component analysis and clustering. Journal of Biosciences. 32(S1). 1027–1039. 28 indexed citations
5.
Alexe, Gabriela, Gul S. Dalgin, Daniel Scanfeld, et al.. (2007). BREAST CANCER STRATIFICATION FROM ANALYSIS OF MICRO-ARRAY DATA OF MICRO-DISSECTED SPECIMENS. View. 130–140. 4 indexed citations
6.
Dalgin, Gul S., Gabriela Alexe, Daniel Scanfeld, et al.. (2007). Portraits of breast cancer progression. BMC Bioinformatics. 8(1). 291–291. 31 indexed citations
7.
Alexe, Gabriela, Gul S. Dalgin, Ramakrishna Ramaswamy, Charles DeLisi, & Gyan Bhanot. (2007). Data perturbation independent diagnosis and validation of breast cancer subtypes using clustering and patterns.. PubMed. 2. 243–74. 15 indexed citations
8.
Dalgin, Gul S., Dustin Holloway, Louis S. Liou, & Charles DeLisi. (2007). Identification and Characterization of Renal Cell Carcinoma Gene Markers. Cancer Informatics. 3. 2816855308–2816855308. 28 indexed citations
9.
Alexe, Gabriela, Gul S. Dalgin, Daniel Scanfeld, et al.. (2007). Breast cancer stratification from analysis of micro-array data of micro-dissected specimens.. PubMed. 18. 130–40. 7 indexed citations
10.
Dalgin, Gul S., Dustin Holloway, Louis S. Liou, & Charles DeLisi. (2007). Identification and characterization of renal cell carcinoma gene markers.. PubMed. 3. 65–92. 26 indexed citations
11.
Alexe, Gabriela, Gul S. Dalgin, Ramakrishna Ramaswamy, Charles DeLisi, & Gyan Bhanot. (2006). Data Perturbation Independent Diagnosis and Validation of Breast Cancer Subtypes Using Clustering and Patterns. Cancer Informatics. 2. 2816755208–2816755208. 11 indexed citations
12.
Dalgin, Gul S. & Charles DeLisi. (2005). Simple discriminant functions identify small sets of genes that distinguish cancer phenotype from normal.. PubMed. 16(1). 245–53. 6 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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