Robert T. Kitchens

1.3k total citations
11 papers, 539 citations indexed

About

Robert T. Kitchens is a scholar working on Immunology, Surgery and Epidemiology. According to data from OpenAlex, Robert T. Kitchens has authored 11 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Robert T. Kitchens's work include Immune Cell Function and Interaction (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Respiratory viral infections research (3 papers). Robert T. Kitchens is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Respiratory viral infections research (3 papers). Robert T. Kitchens collaborates with scholars based in United States. Robert T. Kitchens's co-authors include Gustav Schonfeld, Barbara Pfleger, Sheng Jiao, Mitchell H. Grayson, Michael J. Holtzman, Thomas Cole, Michelle Rohlfing, Rai Ajit K. Srivastava, Eugene Agapov and Dorothy Cheung and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Robert T. Kitchens

10 papers receiving 525 citations

Peers

Robert T. Kitchens
Comparison fields: 5 of 56
  • Immunology 212
  • Physiology 167
  • Surgery 149
  • Epidemiology 122
  • Molecular Biology 119
Natalia K. Botelho Australia
Jovana Marić Austria
Kyoko Honda Japan
T Masuda Japan
Christopher A. Tibbitt Sweden
J.G. Dohlman United States
Yusuke Koide Japan
Amine Toubal France
Detlef Meyer Germany
Nobuhiko Kubo Japan
Natalia K. Botelho Australia View profile →
Citations per field, relative to Robert T. Kitchens
Robert T. Kitchens · 1×
Citations per year, relative to Robert T. Kitchens
Robert T. Kitchens · 1×

Countries citing papers authored by Robert T. Kitchens

Since Specialization
Citations

This map shows the geographic impact of Robert T. Kitchens'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 Robert T. Kitchens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Kitchens more than expected).

Fields of papers citing papers by Robert T. Kitchens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert T. Kitchens. 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 Robert T. Kitchens. The network helps show where Robert T. Kitchens may publish in the future.

Co-authorship network of co-authors of Robert T. Kitchens

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

All Works

11 of 11 papers shown
# Title Journal Authors Indexed citations
1 Abstract 5544: Patient-derived xenograft study reveals the pharmacology and the role of ESR1 gene aberrations in endocrine therapy resistance of ER positive breast cancer Cancer Research Triparna Sen, Shunqiang Li et al. 0
2 Cutting Edge: CD49d+ Neutrophils Induce FcεRI Expression on Lung Dendritic Cells in a Mouse Model of Postviral Asthma The Journal of Immunology Dorothy Cheung, Robert T. Kitchens et al. 49
3 Exposure to Non-Viral Antigen During Severe Paramyxoviral Respiratory Infections is Sufficient to Generate Airway Hyper-Reactivity Upon Subsequent Non-Viral Antigen Challenge Journal of Allergy and Clinical Immunology Robert T. Kitchens, Mitchell H. Grayson et al. 1
4 Single Non-Viral Antigen Exposure During a Paramyxoviral Respiratory Infection is Sufficient to Drive Specific IgE Production Journal of Allergy and Clinical Immunology Soojin Park, Robert T. Kitchens et al. 1
5 Induction of high-affinity IgE receptor on lung dendritic cells during viral infection leads to mucous cell metaplasia The Journal of Experimental Medicine Mitchell H. Grayson, Dorothy Cheung et al. 150
6 Induction of high-affinity IgE receptor on lung dendritic cells during viral infection leads to mucous cell metaplasia The Journal of Cell Biology Mitchell H. Grayson, Dorothy Cheung et al. 4
7 Controls for Lung Dendritic Cell Maturation and Migration during Respiratory Viral Infection The Journal of Immunology Mitchell H. Grayson, Michelle Rohlfing et al. 84
8 Regulation of the apolipoprotein AIV gene expression by estrogen differs in rat and mouse European Journal of Biochemistry Rai Ajit K. Srivastava, Robert T. Kitchens et al. 12
9 Dietary fatty acids and dietary cholesterol differ in their effect on the in vivo regulation of apolipoprotein A-I and A-II gene expression in inbred strains of mice Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism Rai Ajit K. Srivastava, Jingjing Tang et al. 45
10 In vivo regulation of low-density lipoprotein receptor and apolipoprotein B gene expressions by dietary fat and cholesterol in inbred strains of mice Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism Rai Ajit K. Srivastava, Sheng Jiao et al. 70
11 Genetic heterogeneity of lipoproteins in inbred strains of mice: Analysis by gel-permeation chromatography Metabolism Sheng Jiao, Thomas Cole et al. 123

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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