Girish Sardana

608 total citations
9 papers, 462 citations indexed

About

Girish Sardana is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Spectroscopy. According to data from OpenAlex, Girish Sardana has authored 9 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Molecular Biology and 3 papers in Spectroscopy. Recurrent topics in Girish Sardana's work include Prostate Cancer Treatment and Research (5 papers), Advanced Proteomics Techniques and Applications (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Girish Sardana is often cited by papers focused on Prostate Cancer Treatment and Research (5 papers), Advanced Proteomics Techniques and Applications (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Girish Sardana collaborates with scholars based in Canada, United States and Germany. Girish Sardana's co-authors include Eleftherios P. Diamandis, Barry L. Dowell, Carsten Stephan, Klaus Jung, John Marshall, Cristiana Iosef, Madhulika B. Gupta, Robert Wildgruber, Peter Bowden and Danh Tran‐Thanh and has published in prestigious journals such as PLoS ONE, Endocrinology and Clinical Chemistry.

In The Last Decade

Girish Sardana

9 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Girish Sardana Canada 7 278 128 126 106 71 9 462
Hye-Jin Sung South Korea 10 350 1.3× 112 0.9× 99 0.8× 94 0.9× 116 1.6× 12 534
Linda Lam United States 8 203 0.7× 40 0.3× 202 1.6× 79 0.7× 131 1.8× 23 467
Olena Masui Canada 11 388 1.4× 86 0.7× 184 1.5× 206 1.9× 85 1.2× 12 576
Katharina Malinowsky Germany 17 389 1.4× 76 0.6× 73 0.6× 177 1.7× 149 2.1× 27 660
Sonal Varma Canada 12 193 0.7× 46 0.4× 102 0.8× 69 0.7× 106 1.5× 32 456
Armann Andaya United States 13 330 1.2× 111 0.9× 90 0.7× 93 0.9× 43 0.6× 20 504
Timo Gemoll Germany 16 264 0.9× 73 0.6× 68 0.5× 143 1.3× 175 2.5× 44 531
Kian Kani United States 12 245 0.9× 58 0.5× 72 0.6× 60 0.6× 177 2.5× 21 438
Marta Lomnytska Sweden 14 352 1.3× 36 0.3× 69 0.5× 126 1.2× 120 1.7× 21 579
Siddartha Datta Gupta India 12 446 1.6× 57 0.4× 58 0.5× 186 1.8× 172 2.4× 12 578

Countries citing papers authored by Girish Sardana

Since Specialization
Citations

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

Fields of papers citing papers by Girish Sardana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Girish Sardana. 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 Girish Sardana. The network helps show where Girish Sardana may publish in the future.

Co-authorship network of co-authors of Girish Sardana

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

All Works

9 of 9 papers shown
1.
Iosef, Cristiana, et al.. (2013). Phosphorylation of IGFBP-1 at Discrete Sites Elicits Variable Effects on IGF-I Receptor Autophosphorylation. Endocrinology. 154(3). 1130–1143. 29 indexed citations
2.
Cawthorn, Thomas R., Juan Carlos Alvarez Moreno, Moyez Dharsee, et al.. (2012). Proteomic Analyses Reveal High Expression of Decorin and Endoplasmin (HSP90B1) Are Associated with Breast Cancer Metastasis and Decreased Survival. PLoS ONE. 7(2). e30992–e30992. 70 indexed citations
3.
Sardana, Girish & Eleftherios P. Diamandis. (2012). Biomarkers for the Diagnosis of New and Recurrent Prostate Cancer. Biomarkers in Medicine. 6(5). 587–596. 18 indexed citations
5.
Sardana, Girish, et al.. (2010). Determination of the association of urine prostate specific antigen levels with anthropometric variables in children aged 5-14 years. International braz j urol. 36(2). 202–208. 2 indexed citations
6.
Sardana, Girish & Eleftherios P. Diamandis. (2009). The kallikrein family of proteins as urinary biomarkers for the detection of prostate cancer. Clinical Biochemistry. 42(13-14). 1483–1486. 5 indexed citations
7.
Sardana, Girish, Barry L. Dowell, & Eleftherios P. Diamandis. (2008). Emerging Biomarkers for the Diagnosis and Prognosis of Prostate Cancer. Clinical Chemistry. 54(12). 1951–1960. 112 indexed citations
8.
Sardana, Girish, Klaus Jung, Carsten Stephan, & Eleftherios P. Diamandis. (2008). Proteomic Analysis of Conditioned Media from the PC3, LNCaP, and 22Rv1 Prostate Cancer Cell Lines: Discovery and Validation of Candidate Prostate Cancer Biomarkers. Journal of Proteome Research. 7(8). 3329–3338. 132 indexed citations
9.
Sardana, Girish, John Marshall, & Eleftherios P. Diamandis. (2007). Discovery of Candidate Tumor Markers for Prostate Cancer via Proteomic Analysis of Cell Culture–Conditioned Medium. Clinical Chemistry. 53(3). 429–437. 68 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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