Suat Dervish

486 total citations
22 papers, 370 citations indexed

About

Suat Dervish is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Suat Dervish has authored 22 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Hematology. Recurrent topics in Suat Dervish's work include Blood Coagulation and Thrombosis Mechanisms (6 papers), Single-cell and spatial transcriptomics (4 papers) and Immune cells in cancer (4 papers). Suat Dervish is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (6 papers), Single-cell and spatial transcriptomics (4 papers) and Immune cells in cancer (4 papers). Suat Dervish collaborates with scholars based in Australia, United Kingdom and United States. Suat Dervish's co-authors include Meilang Xue, Chris Jackson, Lyn March, Sohel M. Julovi, Philip N. Sambrook, Heather J. Medbury, Stephen C.H. Li, Helen Williams, Habib Francis and Leonard C. Harrison and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Suat Dervish

22 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suat Dervish Australia 12 128 95 73 48 44 22 370
Rolf Spirig Switzerland 13 80 0.6× 243 2.6× 104 1.4× 66 1.4× 24 0.5× 22 548
A. Gothot Belgium 13 120 0.9× 185 1.9× 93 1.3× 184 3.8× 103 2.3× 28 646
Emilie Coppin United States 10 141 1.1× 110 1.2× 201 2.8× 23 0.5× 137 3.1× 15 569
Aki Sato Japan 12 188 1.5× 69 0.7× 97 1.3× 60 1.3× 70 1.6× 46 466
Philipp Schoengraf Germany 5 51 0.4× 149 1.6× 145 2.0× 66 1.4× 47 1.1× 6 367
Rhesa Dykes United States 7 46 0.4× 60 0.6× 116 1.6× 37 0.8× 73 1.7× 10 366
Saeid Taghiloo Iran 13 55 0.4× 178 1.9× 88 1.2× 35 0.7× 83 1.9× 30 426
Martin Klein Czechia 14 44 0.3× 129 1.4× 194 2.7× 32 0.7× 28 0.6× 34 479
MY Lee United States 13 77 0.6× 133 1.4× 121 1.7× 79 1.6× 36 0.8× 37 488
Carlos J. Lozada United States 9 53 0.4× 102 1.1× 47 0.6× 39 0.8× 20 0.5× 20 318

Countries citing papers authored by Suat Dervish

Since Specialization
Citations

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

Fields of papers citing papers by Suat Dervish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suat Dervish

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

All Works

20 of 20 papers shown
1.
Putri, Givanna, Jonathan H. Chung, Felix Marsh‐Wakefield, et al.. (2022). TrackSOM : Mapping immune response dynamics through clustering of time‐course cytometry data. Cytometry Part A. 103(1). 54–70. 1 indexed citations
2.
Tong, Orion, Gabriel Duette, Caroline Royle, et al.. (2021). Plasmacytoid dendritic cells have divergent effects on HIV infection of initial target cells and induce a pro-retention phenotype. PLoS Pathogens. 17(4). e1009522–e1009522. 8 indexed citations
3.
Jain, Rohit, et al.. (2021). Visualizing murine breast and melanoma tumor microenvironment using intravital multiphoton microscopy. STAR Protocols. 2(3). 100722–100722. 7 indexed citations
4.
Esmaili, Saeed, Peter Langfelder, T. Grant Belgard, et al.. (2021). Core liver homeostatic co-expression networks are preserved but respond to perturbations in an organism- and disease-specific manner. Cell Systems. 12(5). 432–445.e7. 9 indexed citations
5.
6.
Bertram, Kirstie M., Heeva Baharlou, Jake W. Rhodes, et al.. (2021). Optimal Isolation Protocols for Examining and Interrogating Mononuclear Phagocytes From Human Intestinal Tissue. Frontiers in Immunology. 12. 727952–727952. 6 indexed citations
7.
Hameed, Ahmer, Heather Burns, Yi Vee Chew, et al.. (2020). Pharmacologic targeting of renal ischemia-reperfusion injury using a normothermic machine perfusion platform. Scientific Reports. 10(1). 6930–6930. 26 indexed citations
8.
Fewings, Nicole, Suat Dervish, Alessandro F. Fois, et al.. (2020). Novel Surrogate Markers of CNS Inflammation in CSF in the Diagnosis of Autoimmune Encephalitis. Frontiers in Neurology. 10. 1390–1390. 12 indexed citations
9.
Chew, Yi Vee, Heather Burns, Patricia F Anderson, et al.. (2019). Standardisation of flow cytometry for whole blood immunophenotyping of islet transplant and transplant clinical trial recipients. PLoS ONE. 14(5). e0217163–e0217163. 16 indexed citations
10.
Francis, Habib, et al.. (2018). Characterization of Human Monocyte Subsets by Whole Blood Flow Cytometry Analysis. Journal of Visualized Experiments. 44 indexed citations
11.
Xue, Meilang, Suat Dervish, & Chris Jackson. (2018). Isolation of Human Skin Epidermal Stem Cells Based on the Expression of Endothelial Protein C Receptor. Methods in molecular biology. 1879. 165–174. 3 indexed citations
12.
Dervish, Suat, et al.. (2018). Characterization of Human Monocyte Subsets by Whole Blood Flow Cytometry Analysis. Journal of Visualized Experiments. 20 indexed citations
13.
Chew, Yi Vee, Heather Burns, Patricia F Anderson, et al.. (2018). Standardized Whole-Blood Immunophenotyping Panels on Flow Cytometry for Transplant Recipients and Clinical Trials. Transplantation. 102(Supplement 7). S103–S103. 1 indexed citations
14.
Xue, Meilang, Suat Dervish, Kelly J. McKelvey, et al.. (2018). Activated protein C targets immune cells and rheumatoid synovial fibroblasts to prevent inflammatory arthritis in mice. Lara D. Veeken. 58(10). 1850–1860. 21 indexed citations
15.
Pitt, Frances D., Andrew Millard, Martin Ostrowski, et al.. (2016). A Sample-to-Sequence Protocol for Genus Targeted Transcriptomic Profiling: Application to Marine Synechococcus. Frontiers in Microbiology. 7. 1592–1592. 3 indexed citations
16.
Xue, Meilang, Suat Dervish, Leonard C. Harrison, Gregory Fulcher, & Chris Jackson. (2012). Activated Protein C Inhibits Pancreatic Islet Inflammation, Stimulates T Regulatory Cells, and Prevents Diabetes in Non-obese Diabetic (NOD) Mice. Journal of Biological Chemistry. 287(20). 16356–16364. 33 indexed citations
17.
Julovi, Sohel M., Meilang Xue, Suat Dervish, et al.. (2011). Protease Activated Receptor-2 Mediates Activated Protein C–Induced Cutaneous Wound Healing via Inhibition of p38. American Journal Of Pathology. 179(5). 2233–2242. 35 indexed citations
18.
19.
Xue, Meilang, et al.. (2010). Activated Protein C Enhances Human Keratinocyte Barrier Integrity via Sequential Activation of Epidermal Growth Factor Receptor and Tie2. Journal of Biological Chemistry. 286(8). 6742–6750. 42 indexed citations
20.
Xue, Meilang, Nikita Minhas, Suat Dervish, et al.. (2010). Endogenous protein C is essential for the functional integrity of human endothelial cells. Cellular and Molecular Life Sciences. 67(9). 1537–1546. 16 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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