Amanda C. Schierz

1.1k citations
11 papers · 739 indexed · h-index 8
Topics
Bioinformatics and Genomic Networks (5 papers)Computational Drug Discovery Methods (4 papers)Microbial Natural Products and Biosynthesis (2 papers)
Partner nations
United Kingdom

In The Last Decade

Amanda C. Schierz

11 papers receiving 722 citations

Peers

Amanda C. Schierz
Comparison fields: 5 of 91
  • Molecular Biology 532
  • Oncology 198
  • Computational Theory and Mathematics 141
  • Cancer Research 125
  • Artificial Intelligence 56
Replace Shuyu Zheng with:
Shuyu Zheng China
Alina Malyutina Finland
Aparna Gorthi United States
Liye He Finland
Albert A. Antolín United Kingdom
Emily A. Pace United States
Muntasir Mamun Majumder Finland
Kristian Ovaska Finland
Neel S. Madhukar United States
Vasileios Stathias United States
Amanda C. Schierz relative to Shuyu Zheng China Shuyu Zheng's profile →
Citations per field
00.5×10×13.2×
Shuyu Zheng · 1×
Citations per year

Countries citing papers authored by Amanda C. Schierz

Since Specialization
Citations

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

Fields of papers citing papers by Amanda C. Schierz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda C. Schierz. 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 Amanda C. Schierz. The network helps show where Amanda C. Schierz may publish in the future.

Co-authorship network of co-authors of Amanda C. Schierz

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 391
2 98
3 32
4 51
5 3
6 56
7 9
8 78
9 10
10
Innovative Hybridisation of Genetic Algorithms and Neural Networks in Detecting Marker Genes for Leukaemia Cancer
4
11 7

About Amanda C. Schierz

Amanda C. Schierz is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Pharmacology, having authored 11 papers that have together received 739 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (4 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (141 citations), Cancer Research (125 citations) and Molecular Biology (532 citations). Amanda C. Schierz has collaborated with scholars based in United Kingdom. Frequent co-authors include Bissan Al‐Lazikani, Frances M. G. Pearl, Simon E. Ward, Laurence H. Pearl, Dong Tong, Elizabeth A. Coker, Joseph E Tym, Costas Mitsopoulos, Albert A. Antolín and Krishna C. Bulusu. Their work appears in journals such as Nucleic Acids Research, Nature reviews. Cancer and Nature Biotechnology.

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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