Michael Mindrinos

14.3k total citations · 2 hit papers
71 papers, 6.6k citations indexed

About

Michael Mindrinos is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Michael Mindrinos has authored 71 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 15 papers in Plant Science and 12 papers in Immunology. Recurrent topics in Michael Mindrinos's work include Plant-Microbe Interactions and Immunity (7 papers), Plant Pathogenic Bacteria Studies (7 papers) and Gene expression and cancer classification (7 papers). Michael Mindrinos is often cited by papers focused on Plant-Microbe Interactions and Immunity (7 papers), Plant Pathogenic Bacteria Studies (7 papers) and Gene expression and cancer classification (7 papers). Michael Mindrinos collaborates with scholars based in United States, Canada and China. Michael Mindrinos's co-authors include Ronald W. Davis, Frederick M. Ausubel, Wenzhong Xiao, Laurence G. Rahme, Ronald G. Tompkins, Fumiaki Katagiri, Lyle L. Moldawer, Henry V. Baker, Bernard H. Brownstein and J. Perren Cobb and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Mindrinos

70 papers receiving 6.4k 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.

A network-based analysis of systemic inflammation in humans

2005 1.1k citations Steve E. Calvano, Wenzhong Xiao et al. profile →
The A. thaliana disease resistance gene RPS2 encodes a protein containing a nucleotide-binding site and leucine-rich repeats

1994 580 citations Michael Mindrinos et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Mindrinos United States	39	2.9k	1.7k	872	702	648	71	6.6k
Makoto Inoue Japan	44	4.5k 1.6×	1.1k 0.6×	701 0.8×	692 1.0×	956 1.5×	333	8.3k
Sascha Sauer Germany	44	3.7k 1.3×	516 0.3×	897 1.0×	579 0.8×	628 1.0×	119	6.6k
Sangdun Choi South Korea	49	3.9k 1.4×	661 0.4×	2.0k 2.3×	566 0.8×	458 0.7×	185	8.0k
Liang Li China	38	3.2k 1.1×	920 0.6×	479 0.5×	867 1.2×	808 1.2×	473	7.0k
Qí Zhāng China	39	3.5k 1.2×	801 0.5×	640 0.7×	688 1.0×	754 1.2×	254	6.1k
Wei Liu China	42	2.5k 0.9×	743 0.4×	1.4k 1.6×	810 1.2×	458 0.7×	296	6.6k
Xijin Ge United States	26	3.0k 1.1×	1.5k 0.9×	591 0.7×	273 0.4×	534 0.8×	59	6.0k
Xiaoyu Li China	39	3.5k 1.2×	849 0.5×	644 0.7×	339 0.5×	485 0.7×	233	6.3k
Hiroshi Fukuhara Japan	53	6.1k 2.1×	988 0.6×	633 0.7×	703 1.0×	1.3k 1.9×	360	9.4k
Xiaofei Wang China	43	2.6k 0.9×	542 0.3×	503 0.6×	344 0.5×	743 1.1×	232	5.3k

Countries citing papers authored by Michael Mindrinos

Since Specialization

Citations

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

Fields of papers citing papers by Michael Mindrinos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Mindrinos

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

All Works

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20 of 20 papers shown

Babrzadeh, Farbod, et al.. (2019). Complete nucleotide sequence characterization of DRB5 alleles reveals a homogeneous allele group that is distinct from other DRB genes. Human Immunology. 80(7). 437–448. 5 indexed citations

Constantinou, Caterina, Yiorgos Apidianakis, Nikolaos Psychogios, et al.. (2015). In vivo high-resolution magic angle spinning magnetic and electron paramagnetic resonance spectroscopic analysis of mitochondria-targeted peptide in Drosophila melanogaster with trauma-induced thoracic injury. International Journal of Molecular Medicine. 37(2). 299–308. 9 indexed citations

Fu, Glenn K., Weihong Xu, Julie Wilhelmy, et al.. (2014). Molecular indexing enables quantitative targeted RNA sequencing and reveals poor efficiencies in standard library preparations. Proceedings of the National Academy of Sciences. 111(5). 1891–1896. 68 indexed citations

Deng, Glenn, Sujatha Krishnakumar, Ashley A. Powell, et al.. (2014). Single cell mutational analysis of PIK3CA in circulating tumor cells and metastases in breast cancer reveals heterogeneity, discordance, and mutation persistence in cultured disseminated tumor cells from bone marrow. BMC Cancer. 14(1). 456–456. 92 indexed citations

Cuenca, Alex G., Lori F. Gentile, María López, et al.. (2013). Development of a Genomic Metric That Can Be Rapidly Used to Predict Clinical Outcome in Severely Injured Trauma Patients*. Critical Care Medicine. 41(5). 1175–1185. 74 indexed citations

Que, Yok‐Ai, Ronen Hazan, Benjamin Strobel, et al.. (2013). A Quorum Sensing Small Volatile Molecule Promotes Antibiotic Tolerance in Bacteria. PLoS ONE. 8(12). e80140–e80140. 67 indexed citations

Stonebloom, Solomon, Tessa M. Burch‐Smith, In-Soon Kim, et al.. (2009). Loss of the plant DEAD-box protein ISE1 leads to defective mitochondria and increased cell-to-cell transport via plasmodesmata. Proceedings of the National Academy of Sciences. 106(40). 17229–17234. 123 indexed citations

Shalhub, Sherene, et al.. (2009). Variation in the TLR4 Gene Influences the Risk of Organ Failure and Shock Posttrauma: A Cohort Study. The Journal of Trauma: Injury, Infection, and Critical Care. 66(1). 115–123. 40 indexed citations

Dairkee, Shanaz H., Junhee Seok, Stacey Champion, et al.. (2008). Bisphenol A Induces a Profile of Tumor Aggressiveness in High-Risk Cells from Breast Cancer Patients. Cancer Research. 68(7). 2076–2080. 96 indexed citations

10.

Russom, Aman, Palaniappan Sethu, Daniel Irimia, et al.. (2008). Microfluidic Leukocyte Isolation for Gene Expression Analysis in Critically Ill Hospitalized Patients. Clinical Chemistry. 54(5). 891–900. 25 indexed citations

11.

Kobayashi, Ken, Marisa S. Otegui, Sujatha Krishnakumar, Michael Mindrinos, & Patricia Zambryski. (2007). INCREASED SIZE EXCLUSION LIMIT2 Encodes a Putative DEVH Box RNA Helicase Involved in Plasmodesmata Function during Arabidopsis Embryogenesis. The Plant Cell. 19(6). 1885–1897. 109 indexed citations

12.

Apidianakis, Yiorgos, Michael Mindrinos, Wenzhong Xiao, et al.. (2007). Involvement of Skeletal Muscle Gene Regulatory Network in Susceptibility to Wound Infection Following Trauma. PLoS ONE. 2(12). e1356–e1356. 31 indexed citations

13.

Padfield, Katie, Qunhao Zhang, Suresh Gopalan, et al.. (2006). Local and Distant Burn Injury Alter Immuno-Inflammatory Gene Expression in Skeletal Muscle. The Journal of Trauma: Injury, Infection, and Critical Care. 61(2). 280–292. 15 indexed citations

14.

Laudański, Krzysztof, Carol Miller‐Graziano, Wenzhong Xiao, et al.. (2006). Cell-specific expression and pathway analyses reveal alterations in trauma-related human T cell and monocyte pathways. Proceedings of the National Academy of Sciences. 103(42). 15564–15569. 82 indexed citations

15.

Apidianakis, Yiorgos, Michael Mindrinos, Wenzhong Xiao, et al.. (2005). Profiling early infection responses: Pseudomonas aeruginosa eludes host defenses by suppressing antimicrobial peptide gene expression. Proceedings of the National Academy of Sciences. 102(7). 2573–2578. 134 indexed citations

16.

Cobb, J. Perren, Michael Mindrinos, Carol Miller‐Graziano, et al.. (2005). Application of genome-wide expression analysis to human health and disease. Proceedings of the National Academy of Sciences. 102(13). 4801–4806. 168 indexed citations

17.

Déziel, Éric, François Lépine, Sylvain Milot, et al.. (2004). Analysis of Pseudomonas aeruginosa 4-hydroxy-2-alkylquinolines (HAQs) reveals a role for 4-hydroxy-2-heptylquinoline in cell-to-cell communication. Proceedings of the National Academy of Sciences. 101(5). 1339–1344. 495 indexed citations

18.

Feezor, Robert J., Henry V. Baker, Wenzhong Xiao, et al.. (2004). Genomic and Proteomic Determinants of Outcome in Patients Undergoing Thoracoabdominal Aortic Aneurysm Repair. The Journal of Immunology. 172(11). 7103–7109. 44 indexed citations

19.

Sonu, Rebecca, Jacob M. Zahn, Jim Lund, et al.. (2004). A Transcriptional Profile of Aging in the Human Kidney. PLoS Biology. 2(12). e427–e427. 248 indexed citations

20.

Steinmetz, Lars M., Michael Mindrinos, & Peter J. Oefner. (2000). Combining genome sequences and new technologies for dissecting the genetics of complex phenotypes. Trends in Plant Science. 5(9). 397–401. 12 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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