Micah Dunlap

547 total citations
10 papers, 216 citations indexed

About

Micah Dunlap is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Micah Dunlap has authored 10 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in Micah Dunlap's work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Micah Dunlap is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Micah Dunlap collaborates with scholars based in United States, Mexico and South Africa. Micah Dunlap's co-authors include Shabaana A. Khader, Deepak Kaushal, Nancy D. Marín, Joel P. Schneider, Joost J. Oppenheim, Anna Trivett, Sandra Li, O. M. Zack Howard, Scott H. Medina and Joaquı́n Zúñiga and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Biomaterials.

In The Last Decade

Micah Dunlap

9 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Micah Dunlap United States	6	99	83	69	55	33	10	216
Fei Zhou China	5	108 1.1×	105 1.3×	91 1.3×	162 2.9×	34 1.0×	8	317
Pavithra Sampath India	6	111 1.1×	113 1.4×	76 1.1×	67 1.2×	8 0.2×	11	265
Thelvia I. Ramos Cuba	6	55 0.6×	37 0.4×	72 1.0×	85 1.5×	23 0.7×	15	227
Wandang Wang China	8	184 1.9×	71 0.9×	56 0.8×	45 0.8×	8 0.2×	16	303
Artem Rubinstein Russia	11	45 0.5×	106 1.3×	20 0.3×	32 0.6×	12 0.4×	36	212
Masatoshi Momota Japan	11	214 2.2×	46 0.6×	73 1.1×	117 2.1×	9 0.3×	15	320
Koji Ozasa Japan	8	210 2.1×	59 0.7×	35 0.5×	138 2.5×	11 0.3×	10	313
Xiaowei Xiong United States	5	371 3.7×	91 1.1×	95 1.4×	39 0.7×	12 0.4×	7	451
Li Lynn Tan Australia	10	204 2.1×	40 0.5×	38 0.6×	80 1.5×	44 1.3×	17	375
Claire Louet Norway	7	89 0.9×	61 0.7×	67 1.0×	119 2.2×	5 0.2×	13	263

Countries citing papers authored by Micah Dunlap

Since Specialization

Citations

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

Fields of papers citing papers by Micah Dunlap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micah Dunlap

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

All Works

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10 of 10 papers shown

Dunlap, Micah, R. Prosnitz, Mary K. Montgomery, et al.. (2024). Characterization of Pulmonary Pathology in the Golden Syrian Hamster Model of COVID-19 Using Micro-Computed Tomography. Toxicologic Pathology. 53(3). 267–277. 1 indexed citations

Dunlap, Micah, Sadia Akter, Ananya Gupta, et al.. (2024). Nuclear Factor κB Signaling Deficiency in CD11c-Expressing Phagocytes Mediates Early Inflammatory Responses and Enhances Mycobacterium tuberculosis Control. The Journal of Infectious Diseases. 230(2). 336–345. 1 indexed citations

Akter, Sadia, Micah Dunlap, José Alberto Choreño-Parra, et al.. (2022). Mycobacterium tuberculosis infection drives a type I IFN signature in lung lymphocytes. Cell Reports. 39(12). 110983–110983. 32 indexed citations

Gharun, Kourosh, Jana Neuber, Julia Kolter, et al.. (2021). Monocyte progenitors give rise to multinucleated giant cells. Nature Communications. 12(1). 2027–2027. 30 indexed citations

Choreño-Parra, José Alberto, Micah Dunlap, Rosemary V. Swanson, et al.. (2021). CXCL17 Is Dispensable during Hypervirulent Mycobacterium tuberculosis HN878 Infection in Mice. ImmunoHorizons. 5(9). 752–759. 4 indexed citations

Dunlap, Micah, Oliver Prince, Javier Rangel‐Moreno, et al.. (2020). Formation of Lung Inducible Bronchus Associated Lymphoid Tissue Is Regulated by Mycobacterium tuberculosis Expressed Determinants. Frontiers in Immunology. 11. 1325–1325. 13 indexed citations

Choreño-Parra, José Alberto, Micah Dunlap, Rosemary V. Swanson, et al.. (2020). The C-X-C motif chemokine 17 plays a minimal role during lung infection with hypervirulent Mycobacterium tuberculosis. The Journal of Immunology. 204(1_Supplement). 85.13–85.13.

Marín, Nancy D., Micah Dunlap, Deepak Kaushal, & Shabaana A. Khader. (2019). Friend or Foe: The Protective and Pathological Roles of Inducible Bronchus-Associated Lymphoid Tissue in Pulmonary Diseases. The Journal of Immunology. 202(9). 2519–2526. 50 indexed citations

Dunlap, Micah, Nicole C. Howard, Shibali Das, et al.. (2018). A novel role for C–C motif chemokine receptor 2 during infection with hypervirulent Mycobacterium tuberculosis. Mucosal Immunology. 11(6). 1727–1742. 35 indexed citations

10.

Medina, Scott H., Sandra Li, O. M. Zack Howard, et al.. (2015). Enhanced immunostimulatory effects of DNA-encapsulated peptide hydrogels. Biomaterials. 53. 545–553. 50 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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