Anna M. Mielech

1.9k citations
14 papers · 1.3k · h-index 13

Impact in

Papers in

Anna M. Mielech

14 papers receiving 1.3k citations

Peers

Anna M. Mielech
Comparison fields: 5 of 81
  • Infectious Diseases 863
  • Animal Science and Zoology 235
  • Computational Theory and Mathematics 345
  • Immunology 311
  • Molecular Biology 400
Replace Xufang Deng with:
Xufang Deng United States
Qiaoshuai Lan China
Ákos Putics Hungary
Yahira M. Báez-Santos United States
Yuri Kusov Germany
Dalia Jukneliene United States
Katrina Sleeman United States
Miguel Ángel Cuesta-Geijo Spain
Holly A. Saffran Canada
Barbara Schelle Germany
Anna M. Mielech relative to Xufang Deng United States Xufang Deng's profile →
Citations per field
00.5×1.5×
Xufang Deng · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Anna M. Mielech, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna M. Mielech Line = papers co-authored together Anna M. Mielech links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2017266
2 2013179
3 2014168
4 2012155
5 2014135
6 2013122
7 201499
8 201854
9 201548
10 201526
11 200923
12 202021
13 201415
14 20108

About Anna M. Mielech

Anna M. Mielech is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Animal Science and Zoology and Epidemiology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (3 papers), Computational Drug Discovery Methods (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), CRISPR and Genetic Engineering (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Infectious Diseases (863 citations), Animal Science and Zoology (235 citations), Computational Theory and Mathematics (345 citations), Immunology (311 citations) and Molecular Biology (400 citations). Anna M. Mielech has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include Susan C. Baker, Andrew D. Mesecar, Xufang Deng, Yahira M. Báez-Santos, Andy Kilianski, Robert C. Mettelman, Matthew Hackbart, Amornrat O’Brien, C. Cheng Kao and Guanghui Yi. Their work appears in journals such as Journal of Virology, Journal of Medicinal Chemistry, Virus Research, PLoS Pathogens and Journal of Biological Chemistry.

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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