Kristen Mittelsteadt

802 total citations
8 papers, 600 citations indexed

About

Kristen Mittelsteadt is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Kristen Mittelsteadt has authored 8 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Kristen Mittelsteadt's work include Immune Cell Function and Interaction (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Kristen Mittelsteadt is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Kristen Mittelsteadt collaborates with scholars based in United States, France and Taiwan. Kristen Mittelsteadt's co-authors include William A. Altemeier, Jeremy S. Duffield, Chi F. Hung, Lynn M. Schnapp, Akio Kobayashi, Sina A. Gharib, Yu‐Hua Chow, Shunsaku Nakagawa, Ivan G. Gomez and Bryce G. Johnson and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Kristen Mittelsteadt

8 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristen Mittelsteadt United States 7 246 185 173 79 78 8 600
Maliha A. Alikhan Australia 13 144 0.6× 185 1.0× 325 1.9× 40 0.5× 83 1.1× 21 634
Ronald A. Reilkoff United States 6 208 0.8× 164 0.9× 131 0.8× 86 1.1× 85 1.1× 10 654
Christina V Jones Australia 5 98 0.4× 212 1.1× 168 1.0× 30 0.4× 107 1.4× 7 478
Marianne Niedermeier Germany 6 59 0.2× 111 0.6× 351 2.0× 84 1.1× 64 0.8× 6 619
Ying‐Hua Cheng United States 14 82 0.3× 296 1.6× 125 0.7× 85 1.1× 36 0.5× 32 635
PM Villiger Switzerland 9 128 0.5× 56 0.3× 119 0.7× 37 0.5× 55 0.7× 24 482
Anthony Longano Australia 11 230 0.9× 106 0.6× 141 0.8× 46 0.6× 50 0.6× 21 426
Joshua Keegan United States 10 107 0.4× 162 0.9× 168 1.0× 54 0.7× 67 0.9× 21 511
Asuka Sakata Japan 13 86 0.3× 365 2.0× 154 0.9× 122 1.5× 113 1.4× 36 915
Łukasz Wujak Germany 14 315 1.3× 224 1.2× 117 0.7× 85 1.1× 53 0.7× 21 688

Countries citing papers authored by Kristen Mittelsteadt

Since Specialization
Citations

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

Fields of papers citing papers by Kristen Mittelsteadt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristen Mittelsteadt

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

All Works

8 of 8 papers shown
1.
Mittelsteadt, Kristen, Erika Hayes, & Daniel Campbell. (2021). ICOS signaling limits regulatory T cell accumulation and function in visceral adipose tissue. The Journal of Experimental Medicine. 218(6). 21 indexed citations
2.
Peng, Changwei, Kelsey M. Wanhainen, Todd P. Knutson, et al.. (2021). Engagement of the costimulatory molecule ICOS in tissues promotes establishment of CD8+ tissue-resident memory T cells. Immunity. 55(1). 98–114.e5. 60 indexed citations
3.
Mittelsteadt, Kristen & Daniel Campbell. (2019). ICOS signaling in visceral adipose tissue regulatory T cell homeostasis and function. The Journal of Immunology. 202(1_Supplement). 128.4–128.4. 1 indexed citations
4.
Hung, Chi F., Kristen Mittelsteadt, Rena Brauer, et al.. (2017). Lung pericyte-like cells are functional interstitial immune sentinel cells. American Journal of Physiology-Lung Cellular and Molecular Physiology. 312(4). L556–L567. 51 indexed citations
5.
Leaf, Irina A., Shunsaku Nakagawa, Bryce G. Johnson, et al.. (2016). Pericyte MyD88 and IRAK4 control inflammatory and fibrotic responses to tissue injury. Journal of Clinical Investigation. 127(1). 321–334. 119 indexed citations
6.
Hung, Chi F., Yu‐Hua Chow, Akio Kobayashi, et al.. (2013). Role of Lung Pericytes and Resident Fibroblasts in the Pathogenesis of Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 188(7). 820–830. 289 indexed citations
7.
Campanholle, Gabriela, Kristen Mittelsteadt, Shunsaku Nakagawa, et al.. (2013). TLR-2/TLR-4 TREM-1 Signaling Pathway Is Dispensable in Inflammatory Myeloid Cells during Sterile Kidney Injury. PLoS ONE. 8(7). e68640–e68640. 51 indexed citations
8.
Klaff, Lindy S., Sean E. Gill, Brent E. Wisse, et al.. (2012). Lipopolysaccharide-Induced Lung Injury Is Independent of Serum Vitamin D Concentration. PLoS ONE. 7(11). e49076–e49076. 8 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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