Tahsin N. Khan

724 total citations
10 papers, 572 citations indexed

About

Tahsin N. Khan is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Tahsin N. Khan has authored 10 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Tahsin N. Khan's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and Phagocytosis and Immune Regulation (2 papers). Tahsin N. Khan is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and Phagocytosis and Immune Regulation (2 papers). Tahsin N. Khan collaborates with scholars based in United States, Finland and Japan. Tahsin N. Khan's co-authors include Ziaur S. M. Rahman, Eric B. Wong, Jeffrey C. Nolz, Jana L. Mooster, Chetna Soni, Phillip P. Domeier, Takashi Satoh, Shizuo Akira, Philip L. Cohen and Yuxuan Zhen and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and PLoS Pathogens.

In The Last Decade

Tahsin N. Khan

10 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tahsin N. Khan United States 10 494 78 66 66 44 10 572
Rianne C. Scholman Netherlands 13 261 0.5× 57 0.7× 121 1.8× 55 0.8× 83 1.9× 24 430
Regina Gary Germany 10 325 0.7× 33 0.4× 75 1.1× 155 2.3× 73 1.7× 16 450
Kirsty Nicolson United Kingdom 9 520 1.1× 21 0.3× 62 0.9× 103 1.6× 28 0.6× 14 640
Salim Bouguermouh Canada 10 475 1.0× 47 0.6× 113 1.7× 97 1.5× 56 1.3× 11 652
Lucia Colantonio Italy 12 430 0.9× 24 0.3× 58 0.9× 140 2.1× 28 0.6× 13 549
Martine Reijm Netherlands 6 344 0.7× 35 0.4× 24 0.4× 107 1.6× 56 1.3× 10 451
Fabio Jimenez United States 9 232 0.5× 29 0.4× 124 1.9× 102 1.5× 47 1.1× 11 456
Henk Tijssen Netherlands 11 286 0.6× 133 1.7× 50 0.8× 56 0.8× 25 0.6× 24 466
Henry R. Hampton Australia 6 405 0.8× 19 0.2× 123 1.9× 172 2.6× 30 0.7× 8 624

Countries citing papers authored by Tahsin N. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Tahsin N. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tahsin N. Khan. 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 Tahsin N. Khan. The network helps show where Tahsin N. Khan may publish in the future.

Co-authorship network of co-authors of Tahsin N. Khan

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

All Works

10 of 10 papers shown
1.
Pajarinen, Jukka, Tzu‐Hua Lin, Akira Nabeshima, et al.. (2020). Interleukin‐4 repairs wear particle induced osteolysis by modulating macrophage polarization and bone turnover. Journal of Biomedical Materials Research Part A. 109(8). 1512–1520. 22 indexed citations
2.
Hobbs, Samuel J., et al.. (2019). Central memory CD8+ T cells become CD69+ tissue-residents during viral skin infection independent of CD62L-mediated lymph node surveillance. PLoS Pathogens. 15(3). e1007633–e1007633. 45 indexed citations
3.
Lin, Tzu‐Hua, Jukka Pajarinen, Yusuke Kohno, et al.. (2018). Transplanted interleukin-4--secreting mesenchymal stromal cells show extended survival and increased bone mineral density in the murine femur. Cytotherapy. 20(8). 1028–1036. 20 indexed citations
4.
Khan, Tahsin N., et al.. (2016). Local antigen in nonlymphoid tissue promotes resident memory CD8+ T cell formation during viral infection. The Journal of Experimental Medicine. 213(6). 951–966. 164 indexed citations
5.
Soni, Chetna, Phillip P. Domeier, Eric B. Wong, et al.. (2015). Distinct and synergistic roles of FcγRIIB deficiency and 129 strain-derived SLAM family proteins in the development of spontaneous germinal centers and autoimmunity. Journal of Autoimmunity. 63. 31–46. 19 indexed citations
6.
Wong, Eric B., Chetna Soni, Alice Chan, et al.. (2015). B Cell–Intrinsic CD84 and Ly108 Maintain Germinal Center B Cell Tolerance. The Journal of Immunology. 194(9). 4130–4143. 32 indexed citations
7.
Soni, Chetna, Eric B. Wong, Phillip P. Domeier, et al.. (2014). B Cell–Intrinsic TLR7 Signaling Is Essential for the Development of Spontaneous Germinal Centers. The Journal of Immunology. 193(9). 4400–4414. 125 indexed citations
8.
Khan, Tahsin N., Eric B. Wong, Chetna Soni, & Ziaur S. M. Rahman. (2013). Prolonged Apoptotic Cell Accumulation in Germinal Centers of Mer-Deficient Mice Causes Elevated B Cell and CD4+ Th Cell Responses Leading to Autoantibody Production. The Journal of Immunology. 190(4). 1433–1446. 36 indexed citations
9.
Wong, Eric B., Tahsin N. Khan, Chandra Mohan, & Ziaur S. M. Rahman. (2012). The Lupus-Prone NZM2410/NZW Strain–Derived Sle1b Sublocus Alters the Germinal Center Checkpoint in Female Mice in a B Cell–Intrinsic Manner. The Journal of Immunology. 189(12). 5667–5681. 31 indexed citations
10.

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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