Omid Rasool

3.4k total citations
62 papers, 1.9k citations indexed

About

Omid Rasool is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Omid Rasool has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Immunology and 14 papers in Oncology. Recurrent topics in Omid Rasool's work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (10 papers) and Allergic Rhinitis and Sensitization (9 papers). Omid Rasool is often cited by papers focused on T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (10 papers) and Allergic Rhinitis and Sensitization (9 papers). Omid Rasool collaborates with scholars based in Sweden, Finland and United States. Omid Rasool's co-authors include Riitta Lahesmaa, Dan Grandér, Mats Heyman, Connie Jarstrand, Mats Merup, Gunnar Juliusson, Gösta Gahrton, Stefan Einhorn, Annika Scheynius and Arezou Zargari and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Omid Rasool

61 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omid Rasool Sweden 28 666 584 312 281 257 62 1.9k
Christiane Pfeiffer Germany 22 370 0.6× 1.4k 2.3× 243 0.8× 536 1.9× 265 1.0× 39 2.5k
Junichiro Fujimoto Japan 28 858 1.3× 720 1.2× 397 1.3× 309 1.1× 161 0.6× 124 2.6k
R. B. Nussenblatt United States 23 432 0.6× 1.1k 1.9× 300 1.0× 200 0.7× 96 0.4× 45 2.8k
Junichi Yata Japan 25 368 0.6× 1.0k 1.8× 219 0.7× 153 0.5× 163 0.6× 105 1.9k
Wendy F. Davidson United States 34 1.1k 1.6× 2.1k 3.5× 391 1.3× 194 0.7× 158 0.6× 69 3.6k
B. M. Stadler Switzerland 21 501 0.8× 1.4k 2.3× 239 0.8× 120 0.4× 94 0.4× 52 2.3k
Diana Wouters Netherlands 28 661 1.0× 1.4k 2.5× 158 0.5× 108 0.4× 250 1.0× 86 2.6k
Richard D. Garman United States 24 403 0.6× 1.3k 2.2× 380 1.2× 142 0.5× 61 0.2× 34 2.2k
J M Depper United States 20 830 1.2× 2.5k 4.2× 567 1.8× 373 1.3× 312 1.2× 25 3.5k
Doris A. Morgan United States 10 526 0.8× 1.8k 3.1× 657 2.1× 117 0.4× 107 0.4× 13 2.7k

Countries citing papers authored by Omid Rasool

Since Specialization
Citations

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

Fields of papers citing papers by Omid Rasool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omid Rasool

This figure shows the co-authorship network connecting the top 25 collaborators of Omid Rasool. A scholar is included among the top collaborators of Omid Rasool 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 Omid Rasool. Omid Rasool 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.
Pietilä, Sami, Tomi Suomi, Omid Rasool, et al.. (2024). Distinct cellular immune responses in children en route to type 1 diabetes with different first-appearing autoantibodies. Nature Communications. 15(1). 3810–3810. 6 indexed citations
2.
3.
Junttila, Sini, Subhash Tripathi, Kartiek Kanduri, et al.. (2024). A proximal enhancer regulates RORA expression during early human Th17 cell differentiation. Clinical Immunology. 264. 110261–110261. 2 indexed citations
4.
Pietilä, Sami, Robert Moulder, Alexander Marson, et al.. (2024). Phenotypic profiling of human induced regulatory T cells at early differentiation: insights into distinct immunosuppressive potential. Cellular and Molecular Life Sciences. 81(1). 399–399. 1 indexed citations
5.
Bhosale, Santosh D., Robert Moulder, Tanja Buchacher, et al.. (2023). HIC1 interacts with FOXP3 multi protein complex: Novel pleiotropic mechanisms to regulate human regulatory T cell differentiation and function. Immunology Letters. 263. 123–132. 2 indexed citations
6.
Buchacher, Tanja, Riina Kaukonen, António G. G. Sousa, et al.. (2023). PIM kinases regulate early human Th17 cell differentiation. Cell Reports. 42(12). 113469–113469. 7 indexed citations
7.
Laajala, Essi, Mari Vähä-Mäkilä, Mirja Nurmio, et al.. (2022). Permutation-based significance analysis reduces the type 1 error rate in bisulphite sequencing data analysis of human umbilical cord blood samples. Epigenetics. 17(12). 1608–1627. 2 indexed citations
8.
Sen, Partho, Tanja Buchacher, Marina Amaral Alves, et al.. (2021). Quantitative genome-scale metabolic modeling of human CD4+ T cell differentiation reveals subset-specific regulation of glycosphingolipid pathways. Cell Reports. 37(6). 109973–109973. 15 indexed citations
9.
Ullah, Ubaid, Subhash Tripathi, Kartiek Kanduri, et al.. (2018). Transcriptional Repressor HIC1 Contributes to Suppressive Function of Human Induced Regulatory T Cells. Cell Reports. 22(8). 2094–2106. 49 indexed citations
10.
11.
Elo, Laura L., Soile Tuomela, Sunil K. Raghav, et al.. (2010). Genome-wide Profiling of Interleukin-4 and STAT6 Transcription Factor Regulation of Human Th2 Cell Programming. Immunity. 32(6). 852–862. 124 indexed citations
12.
Lund, Riikka, Zhi Chen, Helena Ahlfors, et al.. (2007). Genome-Wide Identification of Novel Genes Involved in Early Th1 and Th2 Cell Differentiation. The Journal of Immunology. 178(6). 3648–3660. 64 indexed citations
13.
Zargari, Arezou, Reto Crameri, Omid Rasool, et al.. (2007). Crystal Structure of the Major Malassezia sympodialis Allergen Mala s 1 Reveals a β-Propeller Fold: A Novel Fold Among Allergens. Journal of Molecular Biology. 369(4). 1079–1086. 18 indexed citations
14.
15.
Saarne, Tiiu, et al.. (2005). Rational design of hypoallergens applied to the major cat allergen Fel d 1. Clinical & Experimental Allergy. 35(5). 657–663. 42 indexed citations
16.
Kaiser, Liselotte, Guro Gafvelin, Eva Johansson, Marianne van Hage, & Omid Rasool. (2003). Lep d 2 polymorphisms in wild and cultured Lepidoglyphus destructor mites. European Journal of Biochemistry. 270(4). 646–653. 7 indexed citations
17.
Gustafsson, Göran, Stanislaw Garwicz, Dan Grandér, et al.. (2002). Deletion of the Ink4-locus (the p16ink4a, p14ARF and p15ink4b genes) predicts relapse in children with ALL treated according to the Nordic protocols NOPHO-86 and NOPHO-92. Leukemia. 16(10). 2037–2045. 26 indexed citations
18.
Merup, Mats, Gunnar Juliusson, Xiushan Wu, et al.. (1997). Amplification of multiple regions of chromosome 12, including 12q13–15, in chronic lymphocytic leukaemia. European Journal Of Haematology. 58(3). 174–180. 38 indexed citations
19.
Åkerlund, Börje, et al.. (1996). Effect of N -acetylcysteine(NAC) treatment on HIV-1 infection: a double-blind placebo-controlled trial. European Journal of Clinical Pharmacology. 50(6). 457–461. 69 indexed citations
20.
Liu, Yie, Omid Rasool, Dan Grandér, Annika Lindblom, & Stefan Einhorn. (1995). Sequence variability of a prolonged tetranucleotide repeat. Human Molecular Genetics. 4(4). 727–729. 3 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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