Travis A. Doering

5.7k total citations · 4 hit papers
17 papers, 4.6k citations indexed

About

Travis A. Doering is a scholar working on Immunology, Surgery and Epidemiology. According to data from OpenAlex, Travis A. Doering has authored 17 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Travis A. Doering's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). Travis A. Doering is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). Travis A. Doering collaborates with scholars based in United States, Switzerland and United Kingdom. Travis A. Doering's co-authors include E. John Wherry, Jill Angelosanto, David Artis, Carly G.K. Ziegler, Laurel A. Monticelli, Michael C. Abt, Gregory F. Sonnenberg, Theresa Alenghat, Brian J. Laidlaw and Michael Paley and has published in prestigious journals such as Nature, Immunity and Nature Immunology.

In The Last Decade

Travis A. Doering

16 papers receiving 4.6k citations

Hit Papers

Innate lymphoid cells promote lung-tissue homeostasis aft... 2011 2026 2016 2021 2011 2011 2012 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis A. Doering United States 12 3.4k 1.4k 878 595 529 17 4.6k
Brian J. Laidlaw United States 25 4.4k 1.3× 1.3k 0.9× 729 0.8× 486 0.8× 626 1.2× 32 5.4k
Colby Zaph United States 31 2.7k 0.8× 652 0.5× 1.2k 1.4× 806 1.4× 476 0.9× 67 4.8k
Madeline Fort United States 22 2.5k 0.7× 680 0.5× 813 0.9× 499 0.8× 862 1.6× 38 4.1k
Jill Angelosanto United States 15 4.2k 1.2× 1.6k 1.1× 600 0.7× 408 0.7× 572 1.1× 16 5.0k
Finn–Eirik Johansen Norway 33 2.5k 0.7× 659 0.5× 944 1.1× 439 0.7× 698 1.3× 56 4.5k
Hidetoshi Takada Japan 33 3.0k 0.9× 540 0.4× 937 1.1× 244 0.4× 712 1.3× 218 5.1k
Kazunaga Agematsu Japan 42 3.2k 1.0× 320 0.2× 1.3k 1.5× 361 0.6× 632 1.2× 135 5.1k
Hideki Fujii Japan 21 2.4k 0.7× 993 0.7× 398 0.5× 391 0.7× 470 0.9× 46 3.2k
Tomohiro Yoshimoto Japan 35 5.5k 1.6× 1.3k 0.9× 1.5k 1.7× 1.6k 2.7× 603 1.1× 61 7.6k
Marianne Quiding‐Järbrink Sweden 31 2.1k 0.6× 1.3k 0.9× 442 0.5× 139 0.2× 309 0.6× 74 3.2k

Countries citing papers authored by Travis A. Doering

Since Specialization
Citations

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

Fields of papers citing papers by Travis A. Doering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis A. Doering. 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 Travis A. Doering. The network helps show where Travis A. Doering may publish in the future.

Co-authorship network of co-authors of Travis A. Doering

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

All Works

17 of 17 papers shown
1.
Doering, Travis A., Benjamin M. Mauck, & James H. Calandruccio. (2021). Hot Topics in Hand and Wrist Surgery. Orthopedic Clinics of North America. 52(2). 149–155. 1 indexed citations
2.
Neufeld, Eric V., Travis A. Doering, Armen K. Kasabian, et al.. (2021). The Effects of Autologous Fat Transfer in an In Vitro Model of Basal Joint Osteoarthritis. The Journal Of Hand Surgery. 48(4). 406.e1–406.e9.
3.
Doering, Travis A., et al.. (2021). Common Complications of Distal Radial Fractures. Orthopedic Clinics of North America. 52(3). 241–250. 2 indexed citations
4.
Galos, David K. & Travis A. Doering. (2019). High-Energy Fractures of the Pelvis and Acetabulum in Pediatric Patients. Journal of the American Academy of Orthopaedic Surgeons. 28(9). 353–362. 12 indexed citations
5.
Doering, Travis A., et al.. (2018). Dorsal Plating for Intra-articular Middle Phalangeal Base Fractures With Volar Instability. Hand. 14(5). 620–625. 5 indexed citations
6.
Stelekati, Erietta, Haina Shin, Travis A. Doering, et al.. (2014). Bystander Chronic Infection Negatively Impacts Development of CD8+ T Cell Memory. Immunity. 40(5). 801–813. 74 indexed citations
7.
Gaiha, Gaurav D., Matthew Woods, Thomas Pertel, et al.. (2014). Dysfunctional HIV-Specific CD8+ T Cell Proliferation Is Associated with Increased Caspase-8 Activity and Mediated by Necroptosis. Immunity. 41(6). 1001–1012. 59 indexed citations
8.
Crawford, Alison, Jill Angelosanto, Charlly Kao, et al.. (2014). Molecular and Transcriptional Basis of CD4+ T Cell Dysfunction during Chronic Infection. Immunity. 40(2). 289–302. 358 indexed citations
9.
Doering, Travis A., et al.. (2014). Establishing an Evidence Base for Critical Laboratory Value Thresholds. American Journal of Clinical Pathology. 142(5). 617–628. 21 indexed citations
10.
Gracias, Donald T., Erietta Stelekati, Jennifer L. Hope, et al.. (2013). The microRNA miR-155 controls CD8+ T cell responses by regulating interferon signaling. Nature Immunology. 14(6). 593–602. 223 indexed citations
11.
Abt, Michael C., Lisa C. Osborne, Laurel A. Monticelli, et al.. (2012). Commensal Bacteria Calibrate the Activation Threshold of Innate Antiviral Immunity. Immunity. 37(1). 158–170. 789 indexed citations breakdown →
12.
Doering, Travis A., Alison Crawford, Jill Angelosanto, et al.. (2012). Network Analysis Reveals Centrally Connected Genes and Pathways Involved in CD8+ T Cell Exhaustion versus Memory. Immunity. 37(6). 1130–1144. 383 indexed citations
13.
Stelekati, Erietta, Haina Shin, Travis A. Doering, et al.. (2012). Bystander chronic infection negatively impacts the development of CD8 T cell memory (76.6). The Journal of Immunology. 188(1_Supplement). 76.6–76.6. 3 indexed citations
14.
Decman, Vilma, Brian J. Laidlaw, Travis A. Doering, et al.. (2012). Defective CD8 T Cell Responses in Aged Mice Are Due to Quantitative and Qualitative Changes in Virus-Specific Precursors. The Journal of Immunology. 188(4). 1933–1941. 107 indexed citations
15.
Monticelli, Laurel A., Gregory F. Sonnenberg, Michael C. Abt, et al.. (2011). Innate lymphoid cells promote lung-tissue homeostasis after infection with influenza virus. Nature Immunology. 12(11). 1045–1054. 1066 indexed citations breakdown →
16.
Siracusa, Mark C., Steven A. Saenz, David A. Hill, et al.. (2011). TSLP promotes interleukin-3-independent basophil haematopoiesis and type 2 inflammation. Nature. 477(7363). 229–233. 411 indexed citations breakdown →
17.
Monticelli, Laurel A., Gregory F. Sonnenberg, Michael C. Abt, et al.. (2011). Innate lymphoid cells promote lung-tissue homeostasis after infection with influenza virus.. Nature Immunology. 12(11). 1045–54. 1125 indexed citations breakdown →

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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