Fatima Abbasi

2.1k total citations
41 papers, 1.4k citations indexed

About

Fatima Abbasi is a scholar working on Genetics, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Fatima Abbasi has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 23 papers in Immunology and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Fatima Abbasi's work include Chronic Lymphocytic Leukemia Research (24 papers), Lymphoma Diagnosis and Treatment (15 papers) and Immunodeficiency and Autoimmune Disorders (11 papers). Fatima Abbasi is often cited by papers focused on Chronic Lymphocytic Leukemia Research (24 papers), Lymphoma Diagnosis and Treatment (15 papers) and Immunodeficiency and Autoimmune Disorders (11 papers). Fatima Abbasi collaborates with scholars based in United States, United Kingdom and Italy. Fatima Abbasi's co-authors include Gerald E. Marti, Neil E. Caporaso, Robert F. Vogt, Adolfas K. Gaigalas, Paolo Ghia, Ola Landgren, Maher Albitar, Wanlong Ma, Richard B. Hayes and Elizabeth Raveché and has published in prestigious journals such as New England Journal of Medicine, Blood and Oncogene.

In The Last Decade

Fatima Abbasi

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatima Abbasi United States 20 691 648 521 504 223 41 1.4k
Karla Plevová Czechia 18 451 0.7× 519 0.8× 279 0.5× 651 1.3× 189 0.8× 48 1.3k
Sandrine Sander Germany 15 328 0.5× 441 0.7× 368 0.7× 1.6k 3.1× 359 1.6× 20 2.2k
Erica N Evans United States 19 288 0.4× 379 0.6× 191 0.4× 487 1.0× 75 0.3× 44 1.2k
David M. Kofler Germany 20 354 0.5× 703 1.1× 224 0.4× 572 1.1× 64 0.3× 43 1.6k
Roland Geisberger Austria 18 184 0.3× 526 0.8× 128 0.2× 388 0.8× 126 0.6× 49 1.1k
Lorena Maestre Spain 15 145 0.2× 744 1.1× 420 0.8× 325 0.6× 158 0.7× 23 1.4k
Sonia Minuzzo Italy 21 155 0.2× 315 0.5× 159 0.3× 824 1.6× 325 1.5× 49 1.5k
K. Emelie M. Blomberg Sweden 14 277 0.4× 450 0.7× 86 0.2× 1.0k 2.1× 495 2.2× 19 1.5k
Bernard Mariamé France 24 170 0.2× 782 1.2× 615 1.2× 700 1.4× 148 0.7× 46 2.3k
Maren Kaufmann Germany 23 110 0.2× 544 0.8× 298 0.6× 928 1.8× 234 1.0× 63 1.7k

Countries citing papers authored by Fatima Abbasi

Since Specialization
Citations

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

Fields of papers citing papers by Fatima Abbasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatima Abbasi

This figure shows the co-authorship network connecting the top 25 collaborators of Fatima Abbasi. A scholar is included among the top collaborators of Fatima Abbasi 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 Fatima Abbasi. Fatima Abbasi 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.
2.
Wang, Meiyao, Martin Misakian, Hua‐Jun He, et al.. (2014). Quantifying CD4 receptor protein in two human CD4+ lymphocyte preparations for quantitative flow cytometry. Clinical Proteomics. 11(1). 43–43. 16 indexed citations
3.
Zhu, Peixuan, Heba Degheidy, Gerald E. Marti, et al.. (2012). Quantitative detection of zeta-chain-associated protein 70 expression in chronic lymphocytic leukemia. Leukemia & lymphoma. 54(3). 579–586. 1 indexed citations
4.
Wang, Lili, Fatima Abbasi, Olga Ornatsky, et al.. (2012). Human CD4+ lymphocytes for antigen quantification: Characterization using conventional flow cytometry and mass cytometry. Cytometry Part A. 81A(7). 567–575. 42 indexed citations
5.
Degheidy, Heba, David Venzon, Mohammed Farooqui, et al.. (2011). Improved ZAP‐70 assay using two clones, multiple methods of analysis and clinical correlation. Cytometry Part B Clinical Cytometry. 80B(5). 309–317. 7 indexed citations
6.
Nieto, Wendy G., Júlia Almeida, Cristina Teodósio, et al.. (2010). Commentary: Comparison of current flow cytometry methods for monoclonal B cell lymphocytosis detection. Cytometry Part B Clinical Cytometry. 78B(S1). S4–9. 8 indexed citations
7.
Wang, Lili, Fatima Abbasi, Robert J. Kreitman, et al.. (2010). Variables in the quantification of CD4 in normals and hairy cell leukemia patients. Cytometry Part B Clinical Cytometry. 80B(1). 51–56. 12 indexed citations
8.
Marti, Gerald E., Youn K. Shim, Maher Albitar, et al.. (2010). Long‐term follow‐up of monoclonal B‐cell lymphocytosis detected in environmental health studies. Cytometry Part B Clinical Cytometry. 78B(S1). S83–90. 3 indexed citations
9.
Shim, Youn K., Neil E. Caporaso, Jane M. Rachel, et al.. (2010). Prevalence of monoclonal B‐cell lymphocytosis: A systematic review. Cytometry Part B Clinical Cytometry. 78B(S1). S10–8. 34 indexed citations
10.
Landgren, Ola, Maher Albitar, Wanlong Ma, et al.. (2009). B-Cell Clones as Early Markers for Chronic Lymphocytic Leukemia. New England Journal of Medicine. 360(7). 659–667. 229 indexed citations
11.
Marti, Gerald E., Fatima Abbasi, Elizabeth Raveché, et al.. (2007). Overview of monoclonal B‐cell lymphocytosis. British Journal of Haematology. 139(5). 701–708. 50 indexed citations
12.
Wang, Lili, Adolfas K. Gaigalas, Gerald E. Marti, Fatima Abbasi, & Robert A. Hoffman. (2007). Toward quantitative fluorescence measurements with multicolor flow cytometry. Cytometry Part A. 73A(4). 279–288. 55 indexed citations
13.
Shim, Youn K., Robert F. Vogt, Dan Middleton, et al.. (2007). Prevalence and natural history of monoclonal and polyclonal B‐cell lymphocytosis in a residential adult population. Cytometry Part B Clinical Cytometry. 72B(5). 344–353. 53 indexed citations
14.
Lowdell, Mark W., Gerald E. Marti, Fatima Abbasi, et al.. (2007). CD69 expression as an index of T-cell function: assay standardization, validation and use in monitoring immune recovery. Cytotherapy. 9(2). 123–132. 41 indexed citations
15.
Abbasi, Fatima, Nancy S. Longo, Peter E. Lipsky, et al.. (2007). B‐cell repertoire and clonal analysis in unaffected first degree relatives in familial chronic lymphocytic leukaemia kindred. British Journal of Haematology. 139(5). 820–823. 4 indexed citations
16.
Wang, Lili, et al.. (2007). Discrepancy in measuring CD4 expression on T‐lymphocytes using fluorescein conjugates in comparison with unimolar CD4‐phycoerythrin conjugates. Cytometry Part B Clinical Cytometry. 72B(6). 442–449. 25 indexed citations
17.
Ali, Arshad, et al.. (2004). Testing Price Prediction Models in Dynamically Configurable Artificial Stock Market.. International Conference on Artificial Intelligence. 671–677.
18.
Kearns‐Jonker, Mary, et al.. (1997). EBV binds to lymphocytes of transgenic mice that express the human CR2 gene. Virus Research. 50(1). 85–94. 4 indexed citations
19.
Hagiwara, Eri, Fatima Abbasi, Gil Mor, Yoshiaki Ishigatsubo, & Dennis M. Klinman. (1995). Phenotype and frequency of cells secreting IL-2, IL-4, IL-6, IL-10, IFN and TNF-α in human peripheral blood. Cytokine. 7(8). 815–822. 66 indexed citations
20.
Dhawan, Subhash, Benjamin S. Weeks, Fatima Abbasi, et al.. (1993). Increased Expression of α4β1 and α5β1 Integrins on HTLV-I-Infected Lymphocytes. Virology. 197(2). 778–781. 30 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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