Isabel Panse

3.1k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Isabel Panse is a scholar working on Immunology, Pharmacology and Epidemiology. According to data from OpenAlex, Isabel Panse has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Pharmacology and 3 papers in Epidemiology. Recurrent topics in Isabel Panse's work include Autophagy in Disease and Therapy (3 papers), Asthma and respiratory diseases (3 papers) and Mast cells and histamine (2 papers). Isabel Panse is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Asthma and respiratory diseases (3 papers) and Mast cells and histamine (2 papers). Isabel Panse collaborates with scholars based in United Kingdom, United States and Germany. Isabel Panse's co-authors include Paul Klenerman, Luzheng Xue, Graham S. Ogg, Maryam Salimi, Andrew N. J. McKenzie, Hergen Spits, Jenny Mjösberg, Anna Katharina Simon, Daniel J. Puleston and Alexander Watson and has published in prestigious journals such as Immunity, Journal of Allergy and Clinical Immunology and Science Advances.

In The Last Decade

Isabel Panse

9 papers receiving 1.2k citations

Hit Papers

Prostaglandin D2 activates group 2 innate lymphoid cells ... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel Panse United Kingdom 7 757 297 272 262 242 9 1.2k
Emilio Boada-Romero United States 11 659 0.9× 209 0.7× 540 2.0× 80 0.3× 499 2.1× 14 1.4k
Xavier Michelet United States 15 737 1.0× 252 0.8× 477 1.8× 96 0.4× 347 1.4× 26 1.4k
Zane Orinska Germany 19 1.1k 1.4× 283 1.0× 92 0.3× 72 0.3× 299 1.2× 39 1.5k
Ruby Fernandez-Boyanapalli United States 10 640 0.8× 214 0.7× 90 0.3× 78 0.3× 313 1.3× 12 904
Luca Castelli Italy 11 1.3k 1.7× 183 0.6× 116 0.4× 98 0.4× 371 1.5× 17 1.8k
Thomas Riffelmacher United Kingdom 11 450 0.6× 89 0.3× 440 1.6× 51 0.2× 486 2.0× 18 1.1k
Magdalena M. Gorska United States 18 869 1.1× 640 2.2× 72 0.3× 409 1.6× 278 1.1× 34 1.4k
Luis Acero United States 9 797 1.1× 161 0.5× 83 0.3× 95 0.4× 205 0.8× 10 1.2k
Peter Georgiev United States 12 677 0.9× 189 0.6× 88 0.3× 85 0.3× 350 1.4× 28 1.2k
Hirotada Kojima Japan 15 663 0.9× 147 0.5× 225 0.8× 66 0.3× 791 3.3× 18 1.4k

Countries citing papers authored by Isabel Panse

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Panse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Panse

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

All Works

9 of 9 papers shown
1.
Hegazy, Ahmed N., Caroline Peine, Isabel Panse, et al.. (2024). Plasticity and lineage commitment of individual TH1 cells are determined by stable T-bet expression quantities. Science Advances. 10(23). eadk2693–eadk2693. 6 indexed citations
2.
Alsaleh, Ghada, Isabel Panse, Leo Swadling, et al.. (2020). Autophagy in T cells from aged donors is maintained by spermidine and correlates with function and vaccine responses. eLife. 9. 70 indexed citations
3.
Xue, Luzheng, Joannah R. Fergusson, Maryam Salimi, et al.. (2015). Prostaglandin D 2 and leukotriene E 4 synergize to stimulate diverse T H 2 functions and T H 2 cell/neutrophil crosstalk. Journal of Allergy and Clinical Immunology. 135. 1 indexed citations
4.
Stranks, Amanda J., Anne Louise Hansen, Isabel Panse, et al.. (2015). Autophagy Controls Acquisition of Aging Features in Macrophages. Journal of Innate Immunity. 7(4). 375–391. 126 indexed citations
5.
Xue, Luzheng, Joannah R. Fergusson, Maryam Salimi, et al.. (2014). Prostaglandin D2 and leukotriene E4 synergize to stimulate diverse TH2 functions and TH2 cell/neutrophil crosstalk. Journal of Allergy and Clinical Immunology. 135(5). 1358–1366.e11. 53 indexed citations
6.
Xue, Luzheng, Maryam Salimi, Isabel Panse, et al.. (2014). Prostaglandin D2 activates group 2 innate lymphoid cells through chemoattractant receptor-homologous molecule expressed on TH2 cells. Journal of Allergy and Clinical Immunology. 133(4). 1184–1194.e7. 384 indexed citations breakdown →
7.
Puleston, Daniel J., Hanlin Zhang, Timothy J. Powell, et al.. (2014). Autophagy is a critical regulator of memory CD8+ T cell formation. eLife. 3. 289 indexed citations
8.
Hegazy, Ahmed N., Caroline Peine, Isabel Panse, et al.. (2010). Interferons Direct Th2 Cell Reprogramming to Generate a Stable GATA-3+T-bet+ Cell Subset with Combined Th2 and Th1 Cell Functions. Immunity. 32(1). 116–128. 253 indexed citations
9.
Kozielski, Frank, Tahira Riaz, Salvatore DeBonis, et al.. (2010). Proteome analysis of microtubule-associated proteins and their interacting partners from mammalian brain. Amino Acids. 41(2). 363–385. 16 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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