Michelle Krogsgaard

5.2k total citations · 1 hit paper
65 papers, 3.9k citations indexed

About

Michelle Krogsgaard is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Michelle Krogsgaard has authored 65 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Immunology, 36 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in Michelle Krogsgaard's work include Immune Cell Function and Interaction (31 papers), Immunotherapy and Immune Responses (30 papers) and T-cell and B-cell Immunology (30 papers). Michelle Krogsgaard is often cited by papers focused on Immune Cell Function and Interaction (31 papers), Immunotherapy and Immune Responses (30 papers) and T-cell and B-cell Immunology (30 papers). Michelle Krogsgaard collaborates with scholars based in United States, China and Denmark. Michelle Krogsgaard's co-authors include Mark M. Davis, Marco A. Purbhoo, Darrell J. Irvine, Johannes B. Huppa, Zhong Shi, Morgan Huse, Qijing Li, Cenk Sumen, Iman Osman and Lars Fugger and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michelle Krogsgaard

62 papers receiving 3.8k 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.

Direct observation of ligand recognition by T cells

2002 610 citations Michelle Krogsgaard, Mark M. Davis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle Krogsgaard United States	30	2.7k	1.3k	845	677	233	65	3.9k
Tadashi Yokosuka Japan	24	3.0k 1.1×	1.4k 1.1×	1.1k 1.3×	384 0.6×	148 0.6×	43	4.1k
Immanuel F. Luescher Switzerland	42	6.1k 2.2×	2.9k 2.2×	1.8k 2.1×	735 1.1×	260 1.1×	132	7.2k
Shannon K. Bromley United States	24	5.2k 1.9×	1.3k 1.0×	1.6k 1.9×	617 0.9×	253 1.1×	28	7.3k
Nicolai S. C. van Oers United States	35	3.1k 1.1×	922 0.7×	1.4k 1.7×	525 0.8×	215 0.9×	81	4.4k
Thomas O. Cameron United States	23	2.2k 0.8×	837 0.6×	820 1.0×	310 0.5×	153 0.7×	27	3.6k
Brian M. Baker United States	43	3.5k 1.3×	1.6k 1.2×	2.3k 2.7×	1.3k 2.0×	195 0.8×	128	5.4k
Ziv Shulman Israel	30	2.4k 0.9×	699 0.5×	1.5k 1.7×	247 0.4×	141 0.6×	60	4.0k
Mark A. Daniëls United States	31	2.0k 0.8×	760 0.6×	1.1k 1.3×	235 0.3×	146 0.6×	81	3.5k
Balbino Alarcón Spain	48	4.9k 1.8×	1.9k 1.4×	2.2k 2.5×	1.1k 1.6×	381 1.6×	156	7.2k
Marco A. Purbhoo United Kingdom	26	2.4k 0.9×	773 0.6×	1.0k 1.2×	292 0.4×	184 0.8×	39	3.8k

Countries citing papers authored by Michelle Krogsgaard

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Krogsgaard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Krogsgaard

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

All Works

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20 of 20 papers shown

Wang, Chan, Mykhaylo Usyk, Soyoung Kwak, et al.. (2025). Association of tumor microbiome with survival in resected early-stage PDAC. mSystems. 10(3). e0122924–e0122924. 1 indexed citations

Wang, Xiaotian, et al.. (2024). In situ cell-surface conformation of the TCR-CD3 signaling complex. EMBO Reports. 25(12). 5719–5742. 1 indexed citations

Kister, Ilya, Amanda L. Piquet, Jinglan Pei, et al.. (2024). Longitudinal study of immunity toSARS‐CoV2in ocrelizumab‐treatedMSpatients up to 2 years afterCOVID‐19 vaccination. Annals of Clinical and Translational Neurology. 11(7). 1750–1764. 2 indexed citations

Krogsgaard, Michelle, et al.. (2024). Phosphopeptide Neoantigens as Emerging Targets in Cancer Immunotherapy. PubMed. 6(4). 135–147. 2 indexed citations

Cong, Peiwen, Chenghao Ge, Baoyu Liu, et al.. (2023). Catch bond models may explain how force amplifies TCR signaling and antigen discrimination. Nature Communications. 14(1). 2616–2616. 36 indexed citations

Johannet, Paul, Wenke Liu, David Fenyö, et al.. (2022). Baseline Serum Autoantibody Signatures Predict Recurrence and Toxicity in Melanoma Patients Receiving Adjuvant Immune Checkpoint Blockade. Clinical Cancer Research. 28(18). 4121–4130. 30 indexed citations

Deng, Jiehui, Aatish Thennavan, Ece Bagdatlioglu, et al.. (2020). Serial single-cell profiling analysis of metastatic TNBC during Nab-paclitaxel and pembrolizumab treatment. Breast Cancer Research and Treatment. 185(1). 85–94. 14 indexed citations

Giles, Keith M., Danny Simpson, Hua Zhou, et al.. (2018). Baseline antibody profiles predict toxicity in melanoma patients treated with immune checkpoint inhibitors. Journal of Translational Medicine. 16(1). 82–82. 97 indexed citations

Vogelsang, Matjaž, Karolina Malecek, Artur Romanchuk, et al.. (2016). The Expression Quantitative Trait Loci in Immune Pathways and their Effect on Cutaneous Melanoma Prognosis. Clinical Cancer Research. 22(13). 3268–3280. 18 indexed citations

10.

Shi, Zhong, Zhiya Yu, Ivan Liadi, et al.. (2016). Constitutive Lck Activity Drives Sensitivity Differences between CD8+ Memory T Cell Subsets. The Journal of Immunology. 197(2). 644–654. 16 indexed citations

11.

Weiss, Sarah A., Joseph K. Han, Farbod Darvishian, et al.. (2016). Impact of aging on host immune response and survival in melanoma: an analysis of 3 patient cohorts. Journal of Translational Medicine. 14(1). 299–299. 27 indexed citations

12.

Vogelsang, Matjaž, Inês Pires da Silva, Nathaniel H. Fleming, et al.. (2015). Genetic associations of the interleukin locus at 1q32.1 with clinical outcomes of cutaneous melanoma. Journal of Medical Genetics. 52(4). 231–239. 17 indexed citations

13.

Silva, Inês Pires da, W. Michelle, Erica B. Friedman, et al.. (2014). Melanoma expression of matrix metalloproteinase-23 is associated with blunted tumor immunity and poor responses to immunotherapy. Journal of Translational Medicine. 12(1). 342–342. 23 indexed citations

14.

Shi, Zhong, Karolina Malecek, Laura A. Johnson, et al.. (2013). T-cell receptor affinity and avidity defines antitumor response and autoimmunity in T-cell immunotherapy. Proceedings of the National Academy of Sciences. 110(17). 6973–6978. 178 indexed citations

15.

Krogsgaard, Michelle, Zhong Shi, Karolina Malecek, et al.. (2013). T cell receptor affinity and avidity defines antitumor response and autoimmunity in T cell immunotherapy. Journal for ImmunoTherapy of Cancer. 1(S1). 13 indexed citations

16.

Malecek, Karolina, et al.. (2010). Retroviral Transduction of T-cell Receptors in Mouse T-cells. Journal of Visualized Experiments. 3 indexed citations

17.

Call, Melissa, Xuechao Xing, Gregory D. Cuny, et al.. (2009). In Vivo Enhancement of Peptide Display by MHC Class II Molecules with Small Molecule Catalysts of Peptide Exchange. The Journal of Immunology. 182(10). 6342–6352. 28 indexed citations

18.

Krogsgaard, Michelle, Jeremy Juang, & Mark M. Davis. (2007). A role for “self” in T-cell activation. Seminars in Immunology. 19(4). 236–244. 40 indexed citations

19.

Krogsgaard, Michelle & Mark M. Davis. (2005). How T cells 'see' antigen. Nature Immunology. 6(3). 239–245. 201 indexed citations

20.

Kasson, Peter M., Johannes B. Huppa, Michelle Krogsgaard, Mark M. Davis, & Axel T. Brünger. (2004). Quantitative Imaging of Lymphocyte Membrane Protein Reorganization and Signaling. Biophysical Journal. 88(1). 579–589. 6 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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