Saba Alzabin

32 total papers · 2.7k total citations
22 papers, 2.1k citations indexed

About

Saba Alzabin is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Saba Alzabin has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 6 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Saba Alzabin's work include T-cell and B-cell Immunology (7 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Immune Cell Function and Interaction (5 papers). Saba Alzabin is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Immune Cell Function and Interaction (5 papers). Saba Alzabin collaborates with scholars based in United Kingdom, United States and Germany. Saba Alzabin's co-authors include Marc Feldmann, Helen Lockstone, Natasha Sahgal, Tim Smallie, Tracy Hussell, Thomas Krausgruber, Irina A. Udalova, Katrina Blazek, Richard Williams and Kay McNamee and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

Saba Alzabin

21 papers receiving 2.1k citations

Hit Papers

IRF5 promotes inflammator... 2011 2026 2016 2021 2011 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saba Alzabin 1.3k 548 498 377 168 22 2.1k
Shigeru Ishiyama 915 0.7× 1.0k 1.8× 658 1.3× 624 1.7× 98 0.6× 22 2.4k
Jerry A. Molitor 1.1k 0.9× 416 0.8× 696 1.4× 198 0.5× 103 0.6× 28 2.3k
Masanori Kawashima 926 0.7× 634 1.2× 721 1.4× 291 0.8× 48 0.3× 38 2.0k
Sujata Sarkar 997 0.8× 253 0.5× 309 0.6× 277 0.7× 45 0.3× 21 1.6k
Hayley G. Evans 1.3k 1.0× 320 0.6× 375 0.8× 260 0.7× 54 0.3× 27 2.0k
Adrian Achuthan 1.1k 0.9× 537 1.0× 202 0.4× 384 1.0× 121 0.7× 45 2.0k
Martine Chabaud 1.6k 1.3× 483 0.9× 989 2.0× 665 1.8× 43 0.3× 12 2.6k
G. Zwadlo 886 0.7× 972 1.8× 139 0.3× 205 0.5× 68 0.4× 25 1.9k
P Seckinger 1.0k 0.8× 478 0.9× 298 0.6× 298 0.8× 22 0.1× 21 1.8k
Alison M. Gizinski 980 0.8× 491 0.9× 453 0.9× 158 0.4× 30 0.2× 12 1.6k

Countries citing papers authored by Saba Alzabin

Since Specialization
Citations

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

Fields of papers citing papers by Saba Alzabin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saba Alzabin

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

All Works

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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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