Andrew Baessler

535 total citations · 2 hit papers
6 papers, 267 citations indexed

About

Andrew Baessler is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Andrew Baessler has authored 6 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Andrew Baessler's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (2 papers). Andrew Baessler is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (2 papers). Andrew Baessler collaborates with scholars based in United States. Andrew Baessler's co-authors include Dario A.A. Vignali, Arlene H. Sharpe, Tullia C. Bruno, Sasikanth Manne, Carly Cardello, Bingxian Xie, Greg M. Delgoffe, Jian Cui, Chang Liu and Yinghui Huang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Immunology.

In The Last Decade

Andrew Baessler

6 papers receiving 262 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

T Cell Exhaustion

2024 121 citations Andrew Baessler, Dario A.A. Vignali Annual Review of Immunology profile →
LAG-3 and PD-1 synergize on CD8+ T cells to drive T cell exhaustion and hinder autocrine IFN-γ-dependent anti-tumor immunity

2024 110 citations Lawrence P. Andrews, Jian Cui et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Baessler United States	5	151	147	67	23	21	6	267
Muhammad Adnan Khattak Australia	9	101 0.7×	185 1.3×	77 1.1×	21 0.9×	37 1.8×	33	264
Kristi L. Manjarrez United States	7	182 1.2×	109 0.7×	50 0.7×	31 1.3×	18 0.9×	19	254
Jolien Ceusters Belgium	7	161 1.1×	109 0.7×	67 1.0×	17 0.7×	21 1.0×	19	248
Brandie C. Taylor United States	3	115 0.8×	127 0.9×	60 0.9×	28 1.2×	19 0.9×	4	201
Zelin Hou China	6	140 0.9×	157 1.1×	73 1.1×	24 1.0×	42 2.0×	9	250
Hoyoung Lee South Korea	4	115 0.8×	138 0.9×	31 0.5×	16 0.7×	14 0.7×	6	201
Gena G. Foster United States	3	209 1.4×	193 1.3×	83 1.2×	40 1.7×	36 1.7×	5	304
Sandra Vogt United States	3	172 1.1×	173 1.2×	114 1.7×	27 1.2×	32 1.5×	3	292
Rachael M. Zemek Australia	8	152 1.0×	160 1.1×	49 0.7×	29 1.3×	21 1.0×	15	240
Maya Eisenring Switzerland	7	205 1.4×	97 0.7×	33 0.5×	33 1.4×	15 0.7×	11	282

Countries citing papers authored by Andrew Baessler

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Baessler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Baessler

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

All Works

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6 of 6 papers shown

1.

Andrews, Lawrence P., Jian Cui, Anthony R. Cillo, et al.. (2024). LAG-3 and PD-1 synergize on CD8+ T cells to drive T cell exhaustion and hinder autocrine IFN-γ-dependent anti-tumor immunity. Cell. 187(16). 4355–4372.e22. 110 indexed citations breakdown →

2.

Ramstead, Andrew G., Hemant Joshi, Andrew Baessler, et al.. (2024). Generation of antigen-specific memory CD4 T cells by heterologous immunization enhances the magnitude of the germinal center response upon influenza infection. PLoS Pathogens. 20(9). e1011639–e1011639. 5 indexed citations

3.

Baessler, Andrew & Dario A.A. Vignali. (2024). T Cell Exhaustion. Annual Review of Immunology. 42(1). 179–206. 121 indexed citations breakdown →

4.

Baessler, Andrew, et al.. (2023). Tet2 deletion in CD4+ T cells disrupts Th1 lineage commitment in memory cells and enhances T follicular helper cell recall responses to viral rechallenge. Proceedings of the National Academy of Sciences. 120(36). e2218324120–e2218324120. 8 indexed citations

5.

Baessler, Andrew, Camille L. Novis, Jelena Perovanović, et al.. (2022). Tet2 coordinates with Foxo1 and Runx1 to balance T follicular helper cell and T helper 1 cell differentiation. Science Advances. 8(24). 21 indexed citations

6.

Novis, Camille L., et al.. (2021). Protein Immunization Induces Memory CD4+ T Cells That Lack Th Lineage Commitment. The Journal of Immunology. 207(5). 1388–1400. 2 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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