Chris S. Lantz

3.1k total citations
21 papers, 2.5k citations indexed

About

Chris S. Lantz is a scholar working on Immunology, Physiology and Immunology and Allergy. According to data from OpenAlex, Chris S. Lantz has authored 21 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 6 papers in Physiology and 6 papers in Immunology and Allergy. Recurrent topics in Chris S. Lantz's work include Mast cells and histamine (15 papers), Food Allergy and Anaphylaxis Research (6 papers) and Asthma and respiratory diseases (6 papers). Chris S. Lantz is often cited by papers focused on Mast cells and histamine (15 papers), Food Allergy and Anaphylaxis Research (6 papers) and Asthma and respiratory diseases (6 papers). Chris S. Lantz collaborates with scholars based in United States, Japan and South Korea. Chris S. Lantz's co-authors include Stephen J. Galli, Masao Yamaguchi, Marcus Maurer, Glenn Dranoff, Ichiro Miyajima, Hans C. Oettgen, John J. Costa, Koji Yano, Richard C. Mulligan and Nicolas Mach and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Blood.

In The Last Decade

Chris S. Lantz

21 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris S. Lantz United States 18 2.0k 978 874 387 353 21 2.5k
SJ Galli United States 32 1.8k 0.9× 956 1.0× 923 1.1× 576 1.5× 389 1.1× 57 2.8k
C. A. Dahinden Switzerland 16 1.3k 0.6× 789 0.8× 770 0.9× 254 0.7× 302 0.9× 20 2.1k
Adele Hartnell United Kingdom 28 1.5k 0.7× 1.6k 1.6× 880 1.0× 689 1.8× 584 1.7× 43 3.2k
R L Stevens United States 22 1.1k 0.5× 683 0.7× 460 0.5× 516 1.3× 462 1.3× 33 2.0k
Christopher P. Shelburne United States 19 1.2k 0.6× 479 0.5× 420 0.5× 248 0.6× 207 0.6× 27 1.5k
Joan Hanley-Hyde United States 9 803 0.4× 402 0.4× 307 0.4× 339 0.9× 146 0.4× 13 1.3k
Michel Dy France 26 2.3k 1.1× 304 0.3× 235 0.3× 732 1.9× 165 0.5× 48 3.0k
Karyn F. Siemasko United States 24 785 0.4× 233 0.2× 466 0.5× 311 0.8× 161 0.5× 37 2.6k
Zane Orinska Germany 19 1.1k 0.5× 283 0.3× 389 0.4× 299 0.8× 93 0.3× 39 1.5k
Joel Tocker United States 21 1.7k 0.8× 620 0.6× 206 0.2× 259 0.7× 170 0.5× 32 2.3k

Countries citing papers authored by Chris S. Lantz

Since Specialization
Citations

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

Fields of papers citing papers by Chris S. Lantz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris S. Lantz. 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 Chris S. Lantz. The network helps show where Chris S. Lantz may publish in the future.

Co-authorship network of co-authors of Chris S. Lantz

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

All Works

20 of 20 papers shown
1.
Deem, Tracy L., et al.. (2020). Assessment of faithful interleukin-3 production by novel bicistronic interleukin-3 reporter mice. Immunology Letters. 221. 18–26. 1 indexed citations
2.
Morales, Johanna K., Sheinei Saleem, Rebecca Martin, et al.. (2013). Myeloid-derived suppressor cells enhance IgE-mediated mast cell responses. Journal of Leukocyte Biology. 95(4). 643–650. 21 indexed citations
3.
Young, Anna Marie P., et al.. (2013). Interleukin-3-Deficient Mice Have Increased Resistance to Blood-Stage Malaria. Infection and Immunity. 82(3). 1308–1314. 13 indexed citations
4.
Lantz, Chris S., Booki Min, Mindy Tsai, et al.. (2008). IL-3 is required for increases in blood basophils in nematode infection in mice and can enhance IgE-dependent IL-4 production by basophils in vitro. Laboratory Investigation. 88(11). 1134–1142. 52 indexed citations
5.
Shen, Tao, Sohee Kim, Jeong‐su Do, et al.. (2008). T cell-derived IL-3 plays key role in parasite infection-induced basophil production but is dispensable for in vivo basophil survival. International Immunology. 20(9). 1201–1209. 79 indexed citations
6.
Kimura, Kôichi, et al.. (2006). Interleukin-3 and c-Kit/stem cell factor are required for normal eosinophil responses in mice infected with Strongyloides venezuelensis. Laboratory Investigation. 86(10). 987–996. 10 indexed citations
7.
8.
Shelburne, Christopher P., Margaret E. McCoy, Roland P. Piekorz, et al.. (2003). Stat5 expression is critical for mast cell development and survival. Blood. 102(4). 1290–1297. 134 indexed citations
9.
Shelburne, Christopher P., Margaret E. McCoy, Roland P. Piekorz, et al.. (2002). Stat5: an essential regulator of mast cell biology. Molecular Immunology. 38(16-18). 1187–1191. 26 indexed citations
10.
11.
Galli, Stephen J., Marcus Maurer, & Chris S. Lantz. (1999). Mast cells as sentinels of innate immunity. Current Opinion in Immunology. 11(1). 53–59. 311 indexed citations
12.
Yamaguchi, Masao, Koji Yano, Chris S. Lantz, et al.. (1999). IgE enhances Fc epsilon receptor I expression and IgE-dependent release of histamine and lipid mediators from human umbilical cord blood-derived mast cells: synergistic effect of IL-4 and IgE on human mast cell Fc epsilon receptor I expression and mediator release.. PubMed. 162(9). 5455–65. 216 indexed citations
13.
Lantz, Chris S., Chang Ho Song, Nicolas Mach, et al.. (1998). Role for interleukin-3 in mast-cell and basophil development and in immunity to parasites. Nature. 392(6671). 90–93. 446 indexed citations
14.
Hata, Daisuke, Yuko Kawakami, Naoki Inagaki, et al.. (1998). Involvement of Bruton's Tyrosine Kinase in FcεRI-dependent Mast Cell Degranulation and Cytokine Production. The Journal of Experimental Medicine. 187(8). 1235–1247. 224 indexed citations
15.
Lantz, Chris S., Masao Yamaguchi, Hans C. Oettgen, et al.. (1997). IgE regulates mouse basophil Fc epsilon RI expression in vivo. The Journal of Immunology. 158(6). 2517–2521. 130 indexed citations
16.
Gagari, Eleni, et al.. (1997). Differential Release of Mast Cell Interleukin-6 Via c-kit. Blood. 89(8). 2654–2663. 95 indexed citations
17.
Yamaguchi, Masao, Chris S. Lantz, Hans C. Oettgen, et al.. (1997). IgE Enhances Mouse Mast Cell FcεRI Expression In Vitro and In Vivo: Evidence for a Novel Amplification Mechanism in IgE-dependent Reactions. The Journal of Experimental Medicine. 185(4). 663–672. 369 indexed citations
18.
Yano, Koji, Masao Yamaguchi, Fernando de Mora, et al.. (1997). Production of macrophage inflammatory protein-1alpha by human mast cells: increased anti-IgE-dependent secretion after IgE-dependent enhancement of mast cell IgE-binding ability.. PubMed. 77(2). 185–93. 60 indexed citations
19.
Lantz, Chris S. & Thomas Huff. (1995). Differential responsiveness of purified mouse c-kit+ mast cells and their progenitors to IL-3 and stem cell factor. The Journal of Immunology. 155(8). 4024–4029. 33 indexed citations
20.
Lantz, Chris S. & Thomas Huff. (1995). Murine KIT+ lineage- bone marrow progenitors express Fc gamma-RII but do not express Fc epsilon-RI until mast cell granule formation.. The Journal of Immunology. 154(1). 355–362. 27 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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