Uros Midic

1.4k total citations
35 papers, 929 citations indexed

About

Uros Midic is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Uros Midic has authored 35 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Public Health, Environmental and Occupational Health and 5 papers in Epidemiology. Recurrent topics in Uros Midic's work include Reproductive Biology and Fertility (10 papers), Protein Structure and Dynamics (7 papers) and Machine Learning in Bioinformatics (5 papers). Uros Midic is often cited by papers focused on Reproductive Biology and Fertility (10 papers), Protein Structure and Dynamics (7 papers) and Machine Learning in Bioinformatics (5 papers). Uros Midic collaborates with scholars based in United States, Russia and China. Uros Midic's co-authors include Zoran Obradović, Vladimir N. Uversky, Christopher J. Oldfield, A. Keith Dunker, Keith E. Latham, Catherine A. VandeVoort, Slobodan Vučetić, Hongbo Xie, Lilia M. Iakoucheva and Bin Xue and has published in prestigious journals such as Nature Communications, Genetics and Endocrinology.

In The Last Decade

Uros Midic

35 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uros Midic United States 15 679 122 122 103 100 35 929
Ella Cederlund Sweden 19 491 0.7× 42 0.3× 67 0.5× 71 0.7× 162 1.6× 36 940
Elliott Bedows United States 19 612 0.9× 38 0.3× 108 0.9× 72 0.7× 123 1.2× 48 1.0k
Giuseppe Infusini Australia 17 394 0.6× 39 0.3× 36 0.3× 57 0.6× 36 0.4× 24 770
Narayanan Hariharan United States 14 1.1k 1.6× 44 0.4× 39 0.3× 77 0.7× 186 1.9× 23 1.5k
Jason D. Salter United States 19 938 1.4× 22 0.2× 80 0.7× 59 0.6× 106 1.1× 26 1.5k
Xiao Fan United States 13 677 1.0× 148 1.2× 27 0.2× 30 0.3× 162 1.6× 22 912
Madeleine J. Headlam Australia 14 349 0.5× 43 0.4× 28 0.2× 25 0.2× 91 0.9× 20 601
Edward L. Gershey United States 15 710 1.0× 47 0.4× 18 0.1× 88 0.9× 117 1.2× 44 999
Cecile Chang United States 7 478 0.7× 31 0.3× 122 1.0× 20 0.2× 108 1.1× 9 594
Minoru Ota Japan 13 312 0.5× 35 0.3× 52 0.4× 19 0.2× 113 1.1× 53 601

Countries citing papers authored by Uros Midic

Since Specialization
Citations

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

Fields of papers citing papers by Uros Midic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uros Midic

This figure shows the co-authorship network connecting the top 25 collaborators of Uros Midic. A scholar is included among the top collaborators of Uros Midic 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 Uros Midic. Uros Midic 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.
Shojaei, Maryam, Uros Midic, Simone A. Thair, et al.. (2023). Multisite validation of a host response signature for predicting likelihood of bacterial and viral infections in patients with suspected influenza. European Journal of Clinical Investigation. 53(5). e13957–e13957. 3 indexed citations
2.
Brakenridge, Scott C., Tyler J. Loftus, Ricardo Ungaro, et al.. (2022). Evaluation of a Multivalent Transcriptomic Metric for Diagnosing Surgical Sepsis and Estimating Mortality Among Critically Ill Patients. JAMA Network Open. 5(7). e2221520–e2221520. 6 indexed citations
3.
Brakenridge, Scott C., Petr Starostik, Uros Midic, et al.. (2021). A Transcriptomic Severity Metric That Predicts Clinical Outcomes in Critically Ill Surgical Sepsis Patients. Critical Care Explorations. 3(10). e0554–e0554. 12 indexed citations
4.
Mayhew, Michael B., Ljubomir Buturović, Roland Luethy, et al.. (2020). A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections. Nature Communications. 11(1). 1177–1177. 72 indexed citations
5.
Sweeney, Timothy E., Oliver Liesenfeld, James Wacker, et al.. (2020). Validation of Inflammopathic, Adaptive, and Coagulopathic Sepsis Endotypes in Coronavirus Disease 2019. Critical Care Medicine. 49(2). e170–e178. 21 indexed citations
6.
Sweeney, Timothy E., et al.. (2019). Pilot study of a novel serum mRNA gene panel for diagnosis of acute septic arthritis. World Journal of Orthopedics. 10(12). 424–433. 3 indexed citations
7.
8.
Ding, Deqiang, Jiali Liu, Uros Midic, et al.. (2018). TDRD5 binds piRNA precursors and selectively enhances pachytene piRNA processing in mice. Nature Communications. 9(1). 127–127. 45 indexed citations
9.
Ding, Deqiang, Jiali Liu, Kunzhe Dong, et al.. (2017). PNLDC1 is essential for piRNA 3′ end trimming and transposon silencing during spermatogenesis in mice. Nature Communications. 8(1). 819–819. 97 indexed citations
10.
Midic, Uros, et al.. (2016). Effects of long-term endocrine disrupting compound exposure on Macaca mulatta embryonic stem cells. Reproductive Toxicology. 65. 382–393. 14 indexed citations
11.
VandeVoort, Catherine A., Kristin Grimsrud, Uros Midic, Namdori R. Mtango, & Keith E. Latham. (2014). Transgenerational effects of binge drinking in a primate model: implications for human health. Fertility and Sterility. 103(2). 560–569. 16 indexed citations
12.
Chaffin, Charles L., Keith E. Latham, Namdori R. Mtango, Uros Midic, & Catherine A. VandeVoort. (2014). Dietary Sugar in Healthy Female Primates Perturbs Oocyte Maturation and In Vitro Preimplantation Embryo Development. Endocrinology. 155(7). 2688–2695. 11 indexed citations
13.
Midic, Uros & Zoran Obradović. (2012). Intrinsic disorder in putative protein sequences. Proteome Science. 10(Suppl 1). S19–S19. 18 indexed citations
14.
Midic, Uros, et al.. (2010). Positive and negative cis-regulatory elements directing postfertilization maternal mRNA translational control in mouse embryos. American Journal of Physiology-Cell Physiology. 299(4). C818–C827. 13 indexed citations
15.
Midic, Uros, Christopher J. Oldfield, A. Keith Dunker, Zoran Obradović, & Vladimir N. Uversky. (2009). Protein disorder in the human diseasome: unfoldomics of human genetic diseases. TUScholarShare (Temple University). 2 indexed citations
16.
Midic, Uros, Christopher J. Oldfield, A. Keith Dunker, Zoran Obradović, & Vladimir N. Uversky. (2009). Protein disorder in the human diseasome: unfoldomics of human genetic diseases. BMC Genomics. 10(S1). S12–S12. 114 indexed citations
17.
Midic, Uros, Christopher J. Oldfield, A. Keith Dunker, Zoran Obradović, & Vladimir N. Uversky. (2009). Unfoldomics of Human Genetic Diseases: Illustrative Examples of Ordered and Intrinsically Disordered Members of the Human Diseasome. Protein and Peptide Letters. 16(12). 1533–1547. 54 indexed citations
18.
Uversky, Vladimir N., Christopher J. Oldfield, Uros Midic, et al.. (2009). Unfoldomics of human diseases: linking protein intrinsic disorder with diseases. BMC Genomics. 10(Suppl 1). S7–S7. 223 indexed citations
19.
Midic, Uros, A. Keith Dunker, & Zoran Obradović. (2009). Protein sequence alignment and structural disorder. 27–31. 6 indexed citations
20.
Midic, Uros, A. Keith Dunker, & Zoran Obradović. (2006). Exploring alternative knowledge representations for protein secondary-structure prediction. International Journal of Data Mining and Bioinformatics. 1(3). 286–286. 4 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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