Dimitri Monos

8.7k total citations · 1 hit paper
136 papers, 4.0k citations indexed

About

Dimitri Monos is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Dimitri Monos has authored 136 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Immunology, 29 papers in Molecular Biology and 25 papers in Hematology. Recurrent topics in Dimitri Monos's work include T-cell and B-cell Immunology (60 papers), Immune Cell Function and Interaction (50 papers) and Immunotherapy and Immune Responses (24 papers). Dimitri Monos is often cited by papers focused on T-cell and B-cell Immunology (60 papers), Immune Cell Function and Interaction (50 papers) and Immunotherapy and Immune Responses (24 papers). Dimitri Monos collaborates with scholars based in United States, Greece and China. Dimitri Monos's co-authors include Nilesh Chitnis, Anh Dinh, Taishan Hu, Eleni Magira, Deborah Ferriola, Chester M. Zmijewski, Malek Kamoun, Milton D. Rossman, Jamie L. Duke and Jack L. Strominger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Dimitri Monos

129 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Next-generation sequencing technologies: An overview

2021 490 citations Taishan Hu, Nilesh Chitnis et al. Human Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dimitri Monos United States	32	1.6k	1.0k	762	514	389	136	4.0k
Julie Lekstrom-Himes United States	28	1.6k 1.0×	1.6k 1.6×	515 0.7×	371 0.7×	531 1.4×	51	4.5k
Lynne A. Lapierre United States	35	2.0k 1.3×	2.3k 2.3×	478 0.6×	619 1.2×	470 1.2×	65	6.4k
Xavier Culleré United States	25	1.8k 1.1×	1.3k 1.2×	320 0.4×	291 0.6×	367 0.9×	38	3.9k
Hidechika Okada Japan	32	1.7k 1.1×	987 1.0×	332 0.4×	499 1.0×	376 1.0×	142	3.7k
Naomi Taylor France	38	2.0k 1.3×	1.4k 1.4×	669 0.9×	560 1.1×	413 1.1×	104	4.6k
Tadashi Matsumoto Japan	29	730 0.5×	1.1k 1.1×	553 0.7×	226 0.4×	306 0.8×	211	3.3k
Richard J. Cornall United Kingdom	34	2.9k 1.9×	1.9k 1.9×	1.4k 1.9×	280 0.5×	446 1.1×	83	5.8k
Björn Petri Canada	28	2.4k 1.5×	1.2k 1.1×	260 0.3×	300 0.6×	412 1.1×	46	3.9k
Lars Rogge France	33	2.8k 1.8×	1.2k 1.1×	560 0.7×	301 0.6×	366 0.9×	77	4.5k
Jill R. Schurr United States	19	1.7k 1.1×	1.1k 1.0×	396 0.5×	562 1.1×	363 0.9×	22	3.4k

Countries citing papers authored by Dimitri Monos

Since Specialization

Citations

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

Fields of papers citing papers by Dimitri Monos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitri Monos

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chou, Yung-Chien, et al.. (2024). Coupled nanopores for single-molecule detection. Nature Nanotechnology. 19(11). 1686–1692. 13 indexed citations

Hu, Taishan, Timothy L. Mosbruger, Pushkala Jayaraman, et al.. (2024). Targeted and complete genomic sequencing of the major histocompatibility complex in haplotypic form of individual heterozygous samples. Genome Research. 34(10). 1500–1513.

Margolis, David J., Jamie L. Duke, Nandita Mitra, et al.. (2023). A combination of HLA-DP α and β chain polymorphisms paired with a SNP in the DPB1 3’ UTR region, denoting expression levels, are associated with atopic dermatitis. Frontiers in Genetics. 14. 1004138–1004138. 4 indexed citations

Margolis, David J., Nandita Mitra, Ole Hoffstad, et al.. (2021). Association of KIR Genes and MHC Class I Ligands with Atopic Dermatitis. The Journal of Immunology. 207(6). 1522–1529. 12 indexed citations

Margolis, David J., Nandita Mitra, Brian Kim, et al.. (2021). HLA Class I Polymorphisms Influencing Both Peptide Binding and KIR Interactions Are Associated with Remission among Children with Atopic Dermatitis: A Longitudinal Study. The Journal of Immunology. 206(9). 2038–2044. 9 indexed citations

Zhang, Zhe, Sunitha Vege, Taishan Hu, et al.. (2021). Accurate long-read sequencing allows assembly of the duplicated RHD and RHCE genes harboring variants relevant to blood transfusion. The American Journal of Human Genetics. 109(1). 180–191. 20 indexed citations

Hu, Taishan, Nilesh Chitnis, Dimitri Monos, & Anh Dinh. (2021). Next-generation sequencing technologies: An overview. Human Immunology. 82(11). 801–811. 490 indexed citations breakdown →

Hayeck, Tristan J., Anh Dinh, Jamie L. Duke, et al.. (2020). Complex Linkage Disequilibrium Effects in HLA-DPB1 Expression and Molecular Mismatch Analyses of Transplantation Outcomes. Transplantation. 105(3). 637–647. 6 indexed citations

Widyaningsih, Vitri, Kenneth D. Rosenman, Mary Jo Reilly, et al.. (2019). Lack of an Exposure Response and Interaction With HLA-DPβ1 and DRβ1 Polymorphisms in the Development of Beryllium Toxicity in a High Beryllium Exposure Cohort. Journal of Occupational and Environmental Medicine. 62(1). 64–73. 1 indexed citations

10.

Abdel‐Azim, Hisham, Christopher C. Dvorak, Nancy Bunin, et al.. (2019). Next Generation Sequence Minimal Residual Disease (NGS-MRD) Predicts Outstanding Event Free Survival (EFS) Regardless of Hematopoietic Cell Transplantation (HCT) Preparative Approach or Graft Alpha/Beta Depletion in Children with Acute Lymphoblastic Leukemia (ALL). Blood. 134(Supplement_1). 4624–4624.

11.

Duke, Jamie L., Timothy L. Mosbruger, Deborah Ferriola, et al.. (2019). Resolving MiSeq-Generated Ambiguities in HLA-DPB1 Typing by Using the Oxford Nanopore Technology. Journal of Molecular Diagnostics. 21(5). 852–861. 18 indexed citations

12.

Duke, Jamie L., Curt Lind, Kate Mackiewicz, et al.. (2016). Determining performance characteristics of an NGS ‐based HLA typing method for clinical applications. HLA. 87(3). 141–152. 66 indexed citations

13.

Clark, Peter, Mark W. Kunkel, & Dimitri Monos. (2015). The dichotomy between disease phenotype databases and the implications for understanding complex diseases involving the major histocompatibility complex. International Journal of Immunogenetics. 42(6). 413–422. 16 indexed citations

14.

Magira, Eleni, et al.. (2012). HLA-A and HLA-DRB1 amino acid polymorphisms are associated with susceptibility and protection to pulmonary tuberculosis in a Greek population. Human Immunology. 73(6). 641–646. 14 indexed citations

15.

Gupta, Tripti, Florence L. Marlow, Deborah Ferriola, et al.. (2010). Microtubule Actin Crosslinking Factor 1 Regulates the Balbiani Body and Animal-Vegetal Polarity of the Zebrafish Oocyte. PLoS Genetics. 6(8). e1001073–e1001073. 90 indexed citations

16.

Magira, Eleni, Irving Nachamkin, Arthur K. Asbury, et al.. (2003). Differential Distribution of HLA-DQβ/DRβ Epitopes in the Two Forms of Guillain-Barre Syndrome, Acute Motor Axonal Neuropathy and Acute Inflammatory Demyelinating Polyneuropathy (AIDP): Identification of DQβ Epitopes Associated with Susceptibility to and Protection from AIDP. The Journal of Immunology. 170(6). 3074–3080. 57 indexed citations

17.

Argyris, Elias G., et al.. (2002). Human Leukocyte Antigen Class II Amino Acid Epitopes: Susceptibility and Progression Markers for Beryllium Hypersensitivity. American Journal of Respiratory and Critical Care Medicine. 165(6). 788–794. 93 indexed citations

18.

Mehra, Narinder K., et al.. (1996). Arginine at positions 13 or 70-71 in pocket 4 of HLA-DRB1 alleles is associated with susceptibility to tuberculoid leprosy.. The Journal of Experimental Medicine. 183(3). 829–836. 87 indexed citations

19.

Griffith, Barbara, Elias G. Argyris, Malek Kamoun, et al.. (1996). Identification of DRB1 allele (DRB1*1316) with aspartate at position 86: evolutionary considerations and functional implications. Tissue Antigens. 47(2). 153–154. 4 indexed citations

20.

Lal, Renu B., Dimitri Monos, Thomas M. Chused, & Herbert L. Cooper. (1985). Analysis of lymphocyte proteins from New Zealand black mice by two-dimensional gel electrophoresis.. The Journal of Immunology. 134(4). 2350–2356. 1 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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