Mark Lindsey

1.9k total citations
31 papers, 1.1k citations indexed

About

Mark Lindsey is a scholar working on Physiology, Immunology and Dermatology. According to data from OpenAlex, Mark Lindsey has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 7 papers in Immunology and 5 papers in Dermatology. Recurrent topics in Mark Lindsey's work include Asthma and respiratory diseases (15 papers), Dermatology and Skin Diseases (5 papers) and Allergic Rhinitis and Sensitization (4 papers). Mark Lindsey is often cited by papers focused on Asthma and respiratory diseases (15 papers), Dermatology and Skin Diseases (5 papers) and Allergic Rhinitis and Sensitization (4 papers). Mark Lindsey collaborates with scholars based in United States, Canada and China. Mark Lindsey's co-authors include Gurjit K. Khurana Hershey, Mark B. Ericksen, Jocelyn M. Biagini Myers, James E. Lockey, Grace K. LeMasters, David I. Bernstein, Patrick Ryan, Kiley R. Prilliman, William H. Hildebrand and C. Edward Proffitt and has published in prestigious journals such as Nature, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Mark Lindsey

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Lindsey United States 18 331 248 177 169 126 31 1.1k
Tim K. Lee Canada 28 136 0.4× 74 0.3× 160 0.9× 278 1.6× 89 0.7× 99 2.5k
Marek Zygmunt Germany 33 114 0.3× 1.2k 5.0× 660 3.7× 62 0.4× 203 1.6× 196 3.9k
D. Leduc France 17 287 0.9× 164 0.7× 47 0.3× 53 0.3× 201 1.6× 70 1.1k
Peter B. Noble Australia 30 853 2.6× 205 0.8× 391 2.2× 18 0.1× 1.2k 9.3× 142 2.7k
B.V. Johansen Norway 19 158 0.5× 86 0.3× 96 0.5× 244 1.4× 259 2.1× 56 997
Monika Gniadecka Denmark 26 136 0.4× 51 0.2× 288 1.6× 38 0.2× 155 1.2× 57 2.7k
Michael J. Rossi United States 24 99 0.3× 194 0.8× 577 3.3× 32 0.2× 62 0.5× 71 2.3k
Mu Wang China 20 101 0.3× 102 0.4× 268 1.5× 73 0.4× 187 1.5× 76 1.4k
Hashimoto Hashimoto Japan 18 58 0.2× 79 0.3× 143 0.8× 7 0.0× 125 1.0× 87 1.2k
Yehuda Schwarz Israel 21 215 0.6× 49 0.2× 131 0.7× 70 0.4× 973 7.7× 62 1.5k

Countries citing papers authored by Mark Lindsey

Since Specialization
Citations

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

Fields of papers citing papers by Mark Lindsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Lindsey

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Lindsey. A scholar is included among the top collaborators of Mark Lindsey 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 Mark Lindsey. Mark Lindsey 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.
Lindsey, Mark, Francis Kubala, & Richard M. Stern. (2025). A Unified Metric for Simultaneous Evaluation of Error Rate and Annotation Cost. 1–5.
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Smalley, Daniel E., Kamran Qaderi, Johnathan Goodsell, et al.. (2018). A photophoretic-trap volumetric display. Nature. 553(7689). 486–490. 213 indexed citations
5.
Heymann, Peter W., Huyen‐Tran Nguyen, John W. Steinke, et al.. (2017). Rhinovirus infection results in stronger and more persistent genomic dysregulation: Evidence for altered innate immune response in asthmatics at baseline, early in infection, and during convalescence. PLoS ONE. 12(5). e0178096–e0178096. 17 indexed citations
6.
Zhang, Zhonghua, Jocelyn M. Biagini Myers, Eric B. Brandt, et al.. (2016). β-Glucan exacerbates allergic asthma independent of fungal sensitization and promotes steroid-resistant TH2/TH17 responses. Journal of Allergy and Clinical Immunology. 139(1). 54–65.e8. 73 indexed citations
7.
Brandt, Eric B., Shiva Kumar Shanmukhappa, Paritha Arumugam, et al.. (2015). Placenta growth factor augments airway hyperresponsiveness via leukotrienes and IL-13. Journal of Clinical Investigation. 126(2). 571–584. 29 indexed citations
8.
Mersha, Tesfaye B., Lisa J. Martin, Jocelyn M. Biagini Myers, et al.. (2015). Genomic architecture of asthma differs by sex. Genomics. 106(1). 15–22. 35 indexed citations
9.
Chang, Xiao, Jocelyn M. Biagini Myers, Hong Ji, et al.. (2015). Vanin-1 expression and methylation discriminate pediatric asthma corticosteroid treatment response. Journal of Allergy and Clinical Immunology. 136(4). 923–931.e3. 38 indexed citations
10.
Myers, Jocelyn M. Biagini, Lisa J. Martin, Melinda Butsch Kovacic, et al.. (2014). Epistasis between serine protease inhibitor Kazal-type 5 (SPINK5) and thymic stromal lymphopoietin (TSLP) genes contributes to childhood asthma. Journal of Allergy and Clinical Immunology. 134(4). 891–899.e3. 34 indexed citations
11.
LeMasters, Grace K., Gurjit K. Khurana Hershey, Umasundari Sivaprasad, et al.. (2014). N-acetyltransferase 1 polymorphism increases cotinine levels in Caucasian children exposed to secondhand smoke: the CCAAPS birth cohort. The Pharmacogenomics Journal. 15(2). 189–195. 6 indexed citations
12.
Kovacic, Melinda Butsch, Jocelyn M. Biagini Myers, Mark Lindsey, et al.. (2012). The Greater Cincinnati Pediatric Clinic Repository: A Novel Framework for Childhood Asthma and Allergy Research. Pediatric Allergy Immunology and Pulmonology. 25(2). 104–113. 24 indexed citations
13.
Sivaprasad, Umasundari, David J. Askew, Mark B. Ericksen, et al.. (2010). A non-redundant role for Serpinb3a in the induction of mucus production in asthma (141.17). The Journal of Immunology. 184(Supplement_1). 141.17–141.17. 1 indexed citations
14.
Musaad, Salma, Mark B. Ericksen, Mark Lindsey, et al.. (2009). Comparison of anthropometric measures of obesity in childhood allergic asthma: Central obesity is most relevant. Journal of Allergy and Clinical Immunology. 123(6). 1321–1327.e12. 78 indexed citations
15.
Myers, Jocelyn M. Biagini, Ning Wang, Grace K. LeMasters, et al.. (2009). Genetic and Environmental Risk Factors for Childhood Eczema Development and Allergic Sensitization in the CCAAPS Cohort. Journal of Investigative Dermatology. 130(2). 430–437. 35 indexed citations
16.
Ryan, Patrick, Grace K. LeMasters, Pratim Biswas, et al.. (2006). A Comparison of Proximity and Land Use Regression Traffic Exposure Models and Wheezing in Infants. Environmental Health Perspectives. 115(2). 278–284. 156 indexed citations
17.
Prilliman, Kiley R., Kenneth W. Jackson, Mark Lindsey, et al.. (1999). HLA-B15 Peptide Ligands Are Preferentially Anchored at Their C Termini. The Journal of Immunology. 162(12). 7277–7284. 43 indexed citations
18.
Prilliman, Kiley R., et al.. (1999). Peptide motif of the class I molecule HLA-B*1503. Immunogenetics. 49(2). 144–146. 8 indexed citations
19.
Prilliman, Kiley R., Mark Lindsey, Kenneth W. Jackson, et al.. (1998). Complexity among constituents of the HLA-B*1501 peptide motif. Immunogenetics. 48(2). 89–97. 25 indexed citations
20.
Prilliman, Kiley R., et al.. (1997). Large-scale production of class I bound peptides: assigning a signature to HLA-B * 1501. Immunogenetics. 45(6). 379–385. 61 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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