Sara Haag

861 citations
9 papers · 642 indexed · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • Mitochondrial Function and Pathology

Papers in

    • RNA modifications and cancer 7
    • RNA Research and Splicing 6
    • RNA and protein synthesis mechanisms 4
    • Cancer-related gene regulation 2
    • Genomics and Phylogenetic Studies 1
    • RNA regulation and disease 1
    • Heat shock proteins research 1

Sara Haag

9 papers receiving 636 citations

Peers

Sara Haag
Comparison fields: 5 of 47
  • Cancer Research 213
  • Molecular Biology 606
  • Aging 6
  • Energy Engineering and Power Technology 8
  • Clinical Biochemistry 10
Replace Yuma Ishigami with:
Yuma Ishigami Japan
Tsung-Cheng Chang United States
Dominika Hroššová Czechia
Ana Vilar Spain
Samuel S. Truesdell United States
Roberto Dinami Italy
Julian A. Zagalak United Kingdom
Raymond Che United States
Ruitu Lyu United States
Melike Çağlayan United States
Sara Haag relative to Yuma Ishigami Japan Yuma Ishigami's profile →
Citations per field
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Yuma Ishigami · 1×
Citations per year

Countries citing papers authored by Sara Haag

Since Specialization
Citations

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

Fields of papers citing papers by Sara Haag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sara Haag, 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 Sara Haag Line = papers co-authored together Sara Haag links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202426
2 20181
3 201712
4 20172
5 201639
6 2016218
7 2015155
8 201465
9 2014124

About Sara Haag

Sara Haag is a scholar working on Aging, Molecular Biology, Reproductive Medicine, Spectroscopy and Surgery, having authored 9 papers that have together received 642 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers), Cancer-related gene regulation (2 papers), Genomics and Phylogenetic Studies (1 paper), RNA regulation and disease (1 paper), Heat shock proteins research (1 paper) and Sperm and Testicular Function (1 paper). The work is most often cited by research in Cancer Research (213 citations), Molecular Biology (606 citations), Aging (6 citations), Energy Engineering and Power Technology (8 citations) and Clinical Biochemistry (10 citations). Sara Haag has collaborated with scholars based in Germany, United Kingdom and Japan. Frequent co-authors include Markus T. Bohnsack, Jens Kretschmer, Ahmed S. Warda, Claudia Höbartner, Katherine E. Sloan, Peter Rehling, Namit Ranjan, Sven Dennerlein, Marina V. Rodnina and Jan Seikowski. Their work appears in journals such as RNA, The EMBO Journal, Nucleic Acids Research, Human Molecular Genetics and Nature Cell Biology.

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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