Susan M. Kaech

6.7k total citations · 3 hit papers
23 papers, 4.0k citations indexed

About

Susan M. Kaech is a scholar working on Immunology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Susan M. Kaech has authored 23 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 10 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Susan M. Kaech's work include Cancer Immunotherapy and Biomarkers (7 papers), Immune Cell Function and Interaction (6 papers) and interferon and immune responses (5 papers). Susan M. Kaech is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Immune Cell Function and Interaction (6 papers) and interferon and immune responses (5 papers). Susan M. Kaech collaborates with scholars based in United States, Germany and Canada. Susan M. Kaech's co-authors include Gary Banker, Matthew Staron, Gerald S. Shadel, Charles W. Whitfield, Stuart K. Kim, A. Phillip West, Sabine M. Lang, Nuno Raimundo, William Khoury-Hanold and Cristiana M. Pineda and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Susan M. Kaech

23 papers receiving 4.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Mitochondrial DNA stress primes the antiviral innate immune response

2015 1.4k citations A. Phillip West, William Khoury-Hanold et al. Nature profile →
Culturing hippocampal neurons

2006 1.3k citations Susan M. Kaech, Gary Banker Nature Protocols profile →
The β1-adrenergic receptor links sympathetic nerves to T cell exhaustion

2023 124 citations Anna-Maria Globig, Steven Zhao et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Susan M. Kaech United States	13	2.1k	1.4k	752	524	430	23	4.0k
Sourav Ghosh United States	32	2.2k 1.1×	2.1k 1.5×	587 0.8×	479 0.9×	590 1.4×	100	5.3k
Yoji Murata Japan	33	2.2k 1.0×	1.5k 1.0×	451 0.6×	437 0.8×	537 1.2×	114	4.2k
Isabella A. Graef United States	29	4.1k 2.0×	965 0.7×	928 1.2×	573 1.1×	637 1.5×	39	5.8k
Philip A. Barker Canada	30	2.7k 1.3×	1.2k 0.9×	948 1.3×	301 0.6×	498 1.2×	42	4.4k
Frédérick Libert Belgium	37	2.2k 1.1×	969 0.7×	629 0.8×	297 0.6×	667 1.6×	88	4.7k
James S. Malter United States	43	3.7k 1.8×	1.2k 0.8×	576 0.8×	339 0.6×	671 1.6×	131	5.9k
Bernd Nürnberg Germany	48	4.3k 2.1×	991 0.7×	934 1.2×	818 1.6×	578 1.3×	153	6.6k
Mohanish Deshmukh United States	40	4.2k 2.0×	625 0.4×	978 1.3×	489 0.9×	425 1.0×	72	5.6k
Bjørn Steen Skålhegg Norway	36	2.6k 1.2×	888 0.6×	294 0.4×	432 0.8×	578 1.3×	125	4.3k
Steven H. Seeholzer United States	32	2.0k 1.0×	484 0.3×	358 0.5×	286 0.5×	325 0.8×	79	3.5k

Countries citing papers authored by Susan M. Kaech

Since Specialization

Citations

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

Fields of papers citing papers by Susan M. Kaech

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Kaech. 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 Susan M. Kaech. The network helps show where Susan M. Kaech may publish in the future.

Co-authorship network of co-authors of Susan M. Kaech

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Kaech. A scholar is included among the top collaborators of Susan M. Kaech 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 Susan M. Kaech. Susan M. Kaech 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

Xu, Ziyan, Shihao Xu, Hubert Tseng, et al.. (2024). Scavenger Receptor CD36 in Tumor-Associated Macrophages Promotes Cancer Progression by Dampening Type-I IFN Signaling. Cancer Research. 85(3). 462–476. 8 indexed citations

McGeary, Meaghan K., William Damsky, Sabine M. Lang, et al.. (2024). Setdb1 Loss Induces Type I Interferons and Immune Clearance of Melanoma. Cancer Immunology Research. 13(2). 245–257. 4 indexed citations

Cordes, Thekla, Ziyan Xu, Ramya S. Kuna, et al.. (2024). EGFR-Driven Lung Adenocarcinomas Co-opt Alveolar Macrophage Metabolism and Function to Support EGFR Signaling and Growth. Cancer Discovery. 14(3). 524–545. 19 indexed citations

Kaech, Susan M., et al.. (2024). Transcriptional repression by HDAC3 mediates T cell exclusion fromKrasmutant lung tumors. Proceedings of the National Academy of Sciences. 121(42). e2317694121–e2317694121. 9 indexed citations

Krykbaeva, Irina, William Damsky, Meaghan K. McGeary, et al.. (2023). Combinatorial Immunotherapy with Agonistic CD40 Activates Dendritic Cells to Express IL12 and Overcomes PD-1 Resistance. Cancer Immunology Research. 11(10). 1332–1350. 12 indexed citations

Globig, Anna-Maria, Steven Zhao, Vivien I. Maltez, et al.. (2023). The β1-adrenergic receptor links sympathetic nerves to T cell exhaustion. Nature. 622(7982). 383–392. 124 indexed citations breakdown →

Trinh, Vincent Quoc‐Huy, H. Carlo Maurer, Nikki K. Lytle, et al.. (2022). Eicosanoids in the Pancreatic Tumor Microenvironment—A Multicellular, Multifaceted Progression. SHILAP Revista de lepidopterología. 1(4). 682–697. 5 indexed citations

Ayeni, Deborah, et al.. (2021). Elevated murine HB-EGF confers sensitivity to diphtheria toxin in EGFR-mutant lung adenocarcinoma. Disease Models & Mechanisms. 14(11). 1 indexed citations

Wu, Zheng, Sebastian Oeck, A. Phillip West, et al.. (2019). Mitochondrial DNA stress signalling protects the nuclear genome. Nature Metabolism. 1(12). 1209–1218. 104 indexed citations

10.

Ayeni, Deborah, Ping‐Chih Ho, Fernando J. de Miguel, et al.. (2019). Tumor regression mediated by oncogene withdrawal or erlotinib stimulates infiltration of inflammatory immune cells in EGFR mutant lung tumors. Journal for ImmunoTherapy of Cancer. 7(1). 172–172. 24 indexed citations

11.

Cai, Wesley L., Daniel B. Burkhardt, Scott Gettinger, et al.. (2019). Final Results of a Phase II Prospective Trial Evaluating the Combination of Stereotactic Body Radiotherapy (SBRT) with Concurrent Pembrolizumab in Patients with Metastatic Non-Small Cell Lung Cancer (NSCLC). International Journal of Radiation Oncology*Biology*Physics. 105(1). S36–S37. 18 indexed citations

12.

Herbst, Roy S., Scott Gettinger, Sarah B. Goldberg, et al.. (2018). Final Results of a Phase I Prospective Trial Evaluating the Combination of Stereotactic Body Radiation Therapy (SBRT) with Concurrent Pembrolizumab in Patients with Metastatic Non-Small Cell Lung Cancer (NSCLC) or Melanoma. International Journal of Radiation Oncology*Biology*Physics. 102(3). S18–S19. 11 indexed citations

13.

Gettinger, Scott, Anna Wurtz, Sarah B. Goldberg, et al.. (2018). Clinical Features and Management of Acquired Resistance to PD-1 Axis Inhibitors in 26 Patients With Advanced Non–Small Cell Lung Cancer. Journal of Thoracic Oncology. 13(6). 831–839. 86 indexed citations

14.

Xin, Annie, Frédérick Masson, Yang Liao, et al.. (2016). A molecular threshold for effector CD8+ T cell differentiation controlled by transcription factors Blimp-1 and T-bet. Nature Immunology. 17(4). 422–432. 126 indexed citations

15.

West, A. Phillip, William Khoury-Hanold, Matthew Staron, et al.. (2015). Mitochondrial DNA stress primes the antiviral innate immune response. Nature. 520(7548). 553–557. 1351 indexed citations breakdown →

16.

Ray, John, Matthew Staron, Justin A. Shyer, et al.. (2015). The Interleukin-2-mTORc1 Kinase Axis Defines the Signaling, Differentiation, and Metabolism of T Helper 1 and Follicular B Helper T Cells. Immunity. 43(4). 690–702. 245 indexed citations

17.

Henao‐Mejia, Jorge, Adam Williams, Loyal A. Goff, et al.. (2013). The MicroRNA miR-181 Is a Critical Cellular Metabolic Rheostat Essential for NKT Cell Ontogenesis and Lymphocyte Development and Homeostasis. Immunity. 38(5). 984–997. 218 indexed citations

18.

D’Souza, Anthony D., Neal S. Parikh, Susan M. Kaech, & Gerald S. Shadel. (2007). Convergence of multiple signaling pathways is required to coordinately up-regulate mtDNA and mitochondrial biogenesis during T cell activation. Mitochondrion. 7(6). 374–385. 71 indexed citations

19.

Kaech, Susan M. & Gary Banker. (2006). Culturing hippocampal neurons. Nature Protocols. 1(5). 2406–2415. 1280 indexed citations breakdown →

20.

Kaech, Susan M., Charles W. Whitfield, & Stuart K. Kim. (1998). The LIN-2/LIN-7/LIN-10 Complex Mediates Basolateral Membrane Localization of the C. elegans EGF Receptor LET-23 in Vulval Epithelial Cells. Cell. 94(6). 761–771. 312 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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