Alison Jaccard

707 total citations
4 papers, 485 citations indexed

About

Alison Jaccard is a scholar working on Immunology, Oncology and Infectious Diseases. According to data from OpenAlex, Alison Jaccard has authored 4 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Oncology and 0 papers in Infectious Diseases. Recurrent topics in Alison Jaccard's work include Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune cells in cancer (2 papers). Alison Jaccard is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune cells in cancer (2 papers). Alison Jaccard collaborates with scholars based in Switzerland, Spain and Belgium. Alison Jaccard's co-authors include Ping‐Chih Ho, Fabien Franco, Pedro Romero, Yi-Ru Yu, Francisco Martı́n, Tania Wyss, Noelia Maldonado‐Pérez, Denis Migliorini, Mathias Wenes and Céline Yacoub Maroun and has published in prestigious journals such as Nature, Cell Metabolism and Nature Metabolism.

In The Last Decade

Alison Jaccard

4 papers receiving 483 citations

Peers

Alison Jaccard
Benjamin Tschumi Switzerland
Madeline A. Hwee United States
Silvia Panetti United Kingdom
Norah Sadek United States
Xuan Shao China
Benjamin Tschumi Switzerland
Alison Jaccard
Citations per year, relative to Alison Jaccard Alison Jaccard (= 1×) peers Benjamin Tschumi

Countries citing papers authored by Alison Jaccard

Since Specialization
Citations

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

Fields of papers citing papers by Alison Jaccard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Jaccard

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

All Works

4 of 4 papers shown
1.
Jaccard, Alison, Tania Wyss, Noelia Maldonado‐Pérez, et al.. (2023). Reductive carboxylation epigenetically instructs T cell differentiation. Nature. 621(7980). 849–856. 71 indexed citations
2.
Wenes, Mathias, Alison Jaccard, Tania Wyss, et al.. (2022). The mitochondrial pyruvate carrier regulates memory T cell differentiation and antitumor function. Cell Metabolism. 34(5). 731–746.e9. 130 indexed citations
3.
Jaccard, Alison, Xiaoyun Li, & Ping‐Chih Ho. (2021). Glutamine gluttony of efferocytes. Nature Metabolism. 3(10). 1280–1281. 1 indexed citations
4.
Franco, Fabien, Alison Jaccard, Pedro Romero, Yi-Ru Yu, & Ping‐Chih Ho. (2020). Metabolic and epigenetic regulation of T-cell exhaustion. Nature Metabolism. 2(10). 1001–1012. 283 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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