Michaela Torkar

1.1k total citations · 1 hit paper
8 papers, 927 citations indexed

About

Michaela Torkar is a scholar working on Immunology, Oncology and Control and Systems Engineering. According to data from OpenAlex, Michaela Torkar has authored 8 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 2 papers in Oncology and 1 paper in Control and Systems Engineering. Recurrent topics in Michaela Torkar's work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers) and IL-33, ST2, and ILC Pathways (3 papers). Michaela Torkar is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers) and IL-33, ST2, and ILC Pathways (3 papers). Michaela Torkar collaborates with scholars based in United Kingdom, United States and Tanzania. Michaela Torkar's co-authors include John Trowsdale, Michael J. Wilson, Anja Haude, Sarah Milne, Stephan Beck, T. Alwyn Jones, Denise Sheer, Roland Barten, Michael J. Wilson and Marco Colonna and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and European Journal of Immunology.

In The Last Decade

Michaela Torkar

8 papers receiving 914 citations

Hit Papers

Plasticity in the organization and sequences of human KIR... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Torkar United Kingdom 7 895 62 62 45 31 8 927
C Döhring Switzerland 9 862 1.0× 100 1.6× 59 1.0× 126 2.8× 39 1.3× 12 942
Toshio Yabe Japan 13 471 0.5× 118 1.9× 31 0.5× 84 1.9× 35 1.1× 16 585
Ji Pei United States 9 368 0.4× 65 1.0× 219 3.5× 36 0.8× 31 1.0× 13 467
James E. Riggs United States 12 253 0.3× 53 0.9× 29 0.5× 63 1.4× 23 0.7× 38 379
J. Rafael Argüello United Kingdom 8 256 0.3× 39 0.6× 98 1.6× 30 0.7× 21 0.7× 12 334
Martha Marquesen United States 5 307 0.3× 72 1.2× 61 1.0× 120 2.7× 52 1.7× 8 426
Dominic Dordai United States 5 243 0.3× 169 2.7× 23 0.4× 62 1.4× 46 1.5× 9 452
Marie‐Claire Devilder France 12 360 0.4× 146 2.4× 43 0.7× 112 2.5× 35 1.1× 21 544
Atef Allam United States 11 237 0.3× 83 1.3× 21 0.3× 52 1.2× 30 1.0× 13 340
Françoise Gabert France 10 257 0.3× 75 1.2× 53 0.9× 32 0.7× 16 0.5× 18 338

Countries citing papers authored by Michaela Torkar

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Torkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Torkar

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

All Works

8 of 8 papers shown
1.
Torkar, Michaela, Chiwen Chang, Roland Barten, et al.. (2003). Killer Cell Ig-Like Receptor and Leukocyte Ig-Like Receptor Transgenic Mice Exhibit Tissue- and Cell-Specific Transgene Expression. The Journal of Immunology. 171(6). 3056–3063. 26 indexed citations
2.
Wilson, Michael J., Michaela Torkar, & John Trowsdale. (2003). Genetic Analysis of a Highly Homologous Gene Family: The Killer Cell Immunoglobulin-Like Receptors. Humana Press eBooks. 121. 251–263. 4 indexed citations
3.
Barten, Roland, Michaela Torkar, Anja Haude, John Trowsdale, & Michael J. Wilson. (2001). Divergent and convergent evolution of NK-cell receptors. Trends in Immunology. 22(1). 52–57. 121 indexed citations
4.
Torkar, Michaela, Anja Haude, Sarah Milne, et al.. (2000). Arrangement of theILT gene cluster: a common null allele of theILT6 gene results from a 6.7-kbp deletion. European Journal of Immunology. 30(12). 3655–3662. 68 indexed citations
5.
Wilson, Michael J., Michaela Torkar, Anja Haude, et al.. (2000). Plasticity in the organization and sequences of human KIR/ILT gene families. Proceedings of the National Academy of Sciences. 97(9). 4778–4783. 518 indexed citations breakdown →
6.
Torkar, Michaela, et al.. (1998). Isotypic variation of novel immunoglobulin-like transcript/killer cell inhibitory receptor loci in the leukocyte receptor complex. European Journal of Immunology. 28(12). 3959–3967. 88 indexed citations
7.
Wilson, Michael J., Michaela Torkar, & John Trowsdale. (1997). Genomic organization of a human killer cell inhibitory receptor gene. Tissue Antigens. 49(6). 574–579. 80 indexed citations
8.
Torkar, Michaela, P. Anton van der Merwe, Jennifer Q. Russell, et al.. (1996). Transgene‐encoded human CD2 acts in a dominant negative fashion to modify thymocyte selection signals in mice. European Journal of Immunology. 26(12). 2952–2963. 22 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026