Anna M. Mielech

1.9k total citations
14 papers, 1.3k citations indexed

About

Anna M. Mielech is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Anna M. Mielech has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Anna M. Mielech's work include SARS-CoV-2 and COVID-19 Research (7 papers), interferon and immune responses (7 papers) and Virus-based gene therapy research (3 papers). Anna M. Mielech is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), interferon and immune responses (7 papers) and Virus-based gene therapy research (3 papers). Anna M. Mielech collaborates with scholars based in United States, Switzerland and Poland. Anna M. Mielech's co-authors include Susan C. Baker, Andrew D. Mesecar, Xufang Deng, Yahira M. Báez-Santos, Andy Kilianski, Robert C. Mettelman, Amornrat O’Brien, Matthew Hackbart, Guanghui Yi and C. Cheng Kao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Anna M. Mielech

14 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna M. Mielech United States	13	863	400	345	311	235	14	1.3k
Yahira M. Báez-Santos United States	11	1.2k 1.3×	600 1.5×	619 1.8×	419 1.3×	195 0.8×	12	1.8k
Xufang Deng United States	19	1.1k 1.3×	456 1.1×	279 0.8×	378 1.2×	347 1.5×	48	1.8k
Dalia Jukneliene United States	5	612 0.7×	298 0.7×	220 0.6×	185 0.6×	216 0.9×	5	924
Qiaoshuai Lan China	12	1.4k 1.6×	544 1.4×	276 0.8×	215 0.7×	183 0.8×	16	1.8k
Ákos Putics Hungary	13	834 1.0×	396 1.0×	189 0.5×	155 0.5×	379 1.6×	15	1.4k
Miguel Ángel Cuesta-Geijo Spain	18	434 0.5×	286 0.7×	165 0.5×	195 0.6×	79 0.3×	26	1.2k
Bo Qin China	17	556 0.6×	433 1.1×	168 0.5×	163 0.5×	69 0.3×	39	1.0k
Barbara Schelle Germany	11	1.2k 1.3×	319 0.8×	201 0.6×	102 0.3×	708 3.0×	12	1.5k
Yuri Kusov Germany	24	1.2k 1.4×	760 1.9×	346 1.0×	228 0.7×	267 1.1×	39	2.1k
Amornrat Kanjanahaluethai United States	13	955 1.1×	294 0.7×	119 0.3×	185 0.6×	516 2.2×	16	1.4k

Countries citing papers authored by Anna M. Mielech

Since Specialization

Citations

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

Fields of papers citing papers by Anna M. Mielech

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M. Mielech. 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 Anna M. Mielech. The network helps show where Anna M. Mielech may publish in the future.

Co-authorship network of co-authors of Anna M. Mielech

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

All Works

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14 of 14 papers shown

Deng, Xufang, Anna M. Mielech, Matthew Hackbart, et al.. (2020). Structure-Guided Mutagenesis Alters Deubiquitinating Activity and Attenuates Pathogenesis of a Murine Coronavirus. Journal of Virology. 94(11). 21 indexed citations

Niemeyer, Daniela, Kirstin Mösbauer, Andrea Sieberg, et al.. (2018). The papain-like protease determines a virulence trait that varies among members of the SARS-coronavirus species. PLoS Pathogens. 14(9). e1007296–e1007296. 54 indexed citations

Deng, Xufang, Matthew Hackbart, Robert C. Mettelman, et al.. (2017). Coronavirus nonstructural protein 15 mediates evasion of dsRNA sensors and limits apoptosis in macrophages. Proceedings of the National Academy of Sciences. 114(21). E4251–E4260. 266 indexed citations

Savinov, Sergey N., et al.. (2015). X-ray Structural and Functional Studies of the Three Tandemly Linked Domains of Non-structural Protein 3 (nsp3) from Murine Hepatitis Virus Reveal Conserved Functions. Journal of Biological Chemistry. 290(42). 25293–25306. 26 indexed citations

Mielech, Anna M., Xufang Deng, Eveline Kindler, et al.. (2015). Murine Coronavirus Ubiquitin-Like Domain Is Important for Papain-Like Protease Stability and Viral Pathogenesis. Journal of Virology. 89(9). 4907–4917. 48 indexed citations

Mielech, Anna M., et al.. (2014). Nidovirus papain-like proteases: Multifunctional enzymes with protease, deubiquitinating and deISGylating activities. Virus Research. 194. 184–190. 135 indexed citations

Báez-Santos, Yahira M., Anna M. Mielech, Xufang Deng, Susan C. Baker, & Andrew D. Mesecar. (2014). Catalytic Function and Substrate Specificity of the Papain-Like Protease Domain of nsp3 from the Middle East Respiratory Syndrome Coronavirus. Journal of Virology. 88(21). 12511–12527. 99 indexed citations

Deng, Xufang, Sudhakar Agnihothram, Anna M. Mielech, et al.. (2014). A Chimeric Virus-Mouse Model System for Evaluating the Function and Inhibition of Papain-Like Proteases of Emerging Coronaviruses. Journal of Virology. 88(20). 11825–11833. 15 indexed citations

Báez-Santos, Yahira M., Scott J. Barraza, Michael W. Wilson, et al.. (2014). X-ray Structural and Biological Evaluation of a Series of Potent and Highly Selective Inhibitors of Human Coronavirus Papain-like Proteases. Journal of Medicinal Chemistry. 57(6). 2393–2412. 168 indexed citations

10.

Mielech, Anna M., Andy Kilianski, Yahira M. Báez-Santos, Andrew D. Mesecar, & Susan C. Baker. (2013). MERS-CoV papain-like protease has deISGylating and deubiquitinating activities. Virology. 450-451. 64–70. 179 indexed citations

11.

Kilianski, Andy, Anna M. Mielech, Xufang Deng, & Susan C. Baker. (2013). Assessing Activity and Inhibition of Middle East Respiratory Syndrome Coronavirus Papain-Like and 3C-Like Proteases Using Luciferase-Based Biosensors. Journal of Virology. 87(21). 11955–11962. 122 indexed citations

12.

Grum‐Tokars, Valerie, Ya Zhou, Mark Turlington, et al.. (2012). Discovery, Synthesis, And Structure-Based Optimization of a Series of N-(tert-Butyl)-2-(N-arylamido)-2-(pyridin-3-yl) Acetamides (ML188) as Potent Noncovalent Small Molecule Inhibitors of the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) 3CL Protease. Journal of Medicinal Chemistry. 56(2). 534–546. 155 indexed citations

13.

Śledzińska, Anna, Anna M. Mielech, Beata Krawczyk, et al.. (2010). Fatal sepsis in a pregnant woman with pyelonephritis caused by Escherichia coli bearing Dr and P adhesins: diagnosis based on postmortem strain genotyping. BJOG An International Journal of Obstetrics & Gynaecology. 118(2). 266–269. 8 indexed citations

14.

Krawczyk, Beata, et al.. (2009). PCR melting profile (PCR MP) - a new tool for differentiation of Candida albicansstrains. BMC Infectious Diseases. 9(1). 177–177. 23 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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