Andrew E. Schriefer

478 total citations
9 papers, 334 citations indexed

About

Andrew E. Schriefer is a scholar working on Surgery, Molecular Biology and Ecology. According to data from OpenAlex, Andrew E. Schriefer has authored 9 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Molecular Biology and 2 papers in Ecology. Recurrent topics in Andrew E. Schriefer's work include Microbial Community Ecology and Physiology (2 papers), Liver physiology and pathology (2 papers) and Gut microbiota and health (2 papers). Andrew E. Schriefer is often cited by papers focused on Microbial Community Ecology and Physiology (2 papers), Liver physiology and pathology (2 papers) and Gut microbiota and health (2 papers). Andrew E. Schriefer collaborates with scholars based in United States, Puerto Rico and Germany. Andrew E. Schriefer's co-authors include Ramakrishna Kommagani, Sangappa B. Chadchan, Indira U. Mysorekar, Lindsay A. Parnell, Yin Yin, Paul F. Cliften, Lukas D. Wartman, Vivek Arora, Gregory R. Bowman and Seth D. Crosby and has published in prestigious journals such as American Journal Of Pathology, Human Reproduction and eLife.

In The Last Decade

Andrew E. Schriefer

9 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew E. Schriefer United States 8 121 118 105 73 57 9 334
Marziye Farsimadan Iran 11 100 0.8× 103 0.9× 85 0.8× 72 1.0× 88 1.5× 19 399
H.‐C. Schuppe Germany 13 103 0.9× 242 2.1× 89 0.8× 98 1.3× 17 0.3× 34 517
Kaimo Hirv Germany 9 54 0.4× 22 0.2× 132 1.3× 20 0.3× 12 0.2× 18 367
Ludovica Imperiale Italy 9 68 0.6× 159 1.3× 76 0.7× 25 0.3× 102 1.8× 12 287
Daiki Ogishima Japan 9 69 0.6× 164 1.4× 23 0.2× 42 0.6× 114 2.0× 26 402
Žanka Bojić‐Trbojević Serbia 12 102 0.8× 62 0.5× 260 2.5× 32 0.4× 129 2.3× 29 430
Sören von Otte Germany 12 111 0.9× 160 1.4× 161 1.5× 26 0.4× 85 1.5× 30 451
C S Lee Australia 10 39 0.3× 29 0.2× 151 1.4× 23 0.3× 23 0.4× 11 266
Atsushi Komatsu Japan 9 43 0.4× 115 1.0× 76 0.7× 22 0.3× 136 2.4× 25 296
Min Xue China 14 140 1.2× 38 0.3× 163 1.6× 48 0.7× 152 2.7× 26 497

Countries citing papers authored by Andrew E. Schriefer

Since Specialization
Citations

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

Fields of papers citing papers by Andrew E. Schriefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew E. Schriefer. 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 Andrew E. Schriefer. The network helps show where Andrew E. Schriefer may publish in the future.

Co-authorship network of co-authors of Andrew E. Schriefer

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

All Works

9 of 9 papers shown
1.
Liu, Yang, Andrew E. Schriefer, Pankaj Kumar, et al.. (2022). M-CAMPTM: A Cloud-based Web Platform with a Novel Approach forSpecies-level Classification of 16S rRNA Microbiome Sequences. Current Bioinformatics. 18(1). 21–39. 2 indexed citations
2.
Wang, Leyao, Andrew E. Schriefer, Leran Wang, et al.. (2020). Prenatal food insecurity post Hurricane Maria is associated with decreased Veillonella in the infant gut. Pediatric Research. 88(6). 917–924. 9 indexed citations
3.
Chadchan, Sangappa B., Lindsay A. Parnell, Yin Yin, et al.. (2019). Antibiotic therapy with metronidazole reduces endometriosis disease progression in mice: a potential role for gut microbiota. Human Reproduction. 34(6). 1106–1116. 140 indexed citations
4.
Schriefer, Andrew E., Paul F. Cliften, Martin L. Hibberd, et al.. (2018). A multi-amplicon 16S rRNA sequencing and analysis method for improved taxonomic profiling of bacterial communities. Journal of Microbiological Methods. 154. 6–13. 52 indexed citations
6.
Huang, Jiansheng, Andrew E. Schriefer, Paul F. Cliften, et al.. (2016). Postponing the Hypoglycemic Response to Partial Hepatectomy Delays Mouse Liver Regeneration. American Journal Of Pathology. 186(3). 587–599. 30 indexed citations
7.
Yu, Jinsheng, Paul F. Cliften, Twyla Juehne, et al.. (2015). Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology. BMC Genomics. 16(1). 710–710. 9 indexed citations
8.
Poppler, Louis H., Justin B. Cohen, Andrew E. Schriefer, et al.. (2015). Histologic, Molecular, and Clinical Evaluation of Explanted Breast Prostheses, Capsules, and Acellular Dermal Matrices for Bacteria. Aesthetic Surgery Journal. 35(6). 653–668. 27 indexed citations
9.
Huang, Jiansheng, Andrew E. Schriefer, Wei Yang, Paul F. Cliften, & David A. Rudnick. (2014). Identification of an epigenetic signature of early mouse liver regeneration that is disrupted by Zn-HDAC inhibition. Epigenetics. 9(11). 1521–1531. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026