Anna Stief

1.4k citations
14 papers · 1.1k · 1 hit paper · h-index 10

Impact in

Papers in

Anna Stief

14 papers receiving 1.1k citations

Anna Stief's Hit Papers

Arabidopsis miR156 Regulates Tolerance to Recurring Environmental Stress through SPL Transcription Factors 2014 · 537 citations
5370+4+8Years since publication100200300400500

Peers

Anna Stief
Comparison fields: 5 of 112
  • Plant Science 553
  • Control and Systems Engineering 234
  • Molecular Biology 407
  • Insect Science 56
  • Statistics, Probability and Uncertainty 32
Replace Stefan Streif with:
Stefan Streif Germany
Shobhit Gupta United States
Cen Guo China
Cecil L. Smith United States
Jiyong Ma China
Xianqing Chen China
Changlin Liu China
Ekaterina M. Myasnikova Russia
Glen C. Rains United States
Yuan Tang China
Anna Stief relative to Stefan Streif Germany Stefan Streif's profile →
Citations per field
00.5×2×4×6×8.1×
Stefan Streif · 1×
Citations per year

Countries citing papers authored by Anna Stief

Since Specialization
Citations

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

Fields of papers citing papers by Anna Stief

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Anna Stief, 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 Stief Line = papers co-authored together Anna Stief links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Arabidopsis miR156 Regulates Tolerance to Recurring Environmental Stress through SPL Transcription Factors
Hit paper breakdown →
2014537
2 2014259
3 201999
4 201957
5 201449
6 201931
7 201827
8 201723
9 202116
10 201810
11 201910
12 20188
13 20193
14 20181

About Anna Stief

Anna Stief is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Analytical Chemistry, Mechanical Engineering and Insect Science, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (10 papers), Machine Fault Diagnosis Techniques (5 papers), Advanced Statistical Process Monitoring (5 papers), Mineral Processing and Grinding (5 papers), Spectroscopy and Chemometric Analyses (3 papers), Plant Molecular Biology Research (2 papers), Plant Stress Responses and Tolerance (2 papers) and Plant Reproductive Biology (1 paper). The work is most often cited by research in Plant Science (553 citations), Control and Systems Engineering (234 citations), Molecular Biology (407 citations), Insect Science (56 citations) and Statistics, Probability and Uncertainty (32 citations). Anna Stief has collaborated with scholars based in Poland, United Kingdom and China. Frequent co-authors include Isabel Bäurle, Karen Hoffmann, Wolf‐Rüdiger Scheible, Simone Altmann, Bikram Datt Pant, James R. Ottewill, Jerzy Baranowski, Michał Orkisz, Nina F. Thornhill and Ruomu Tan. Their work appears in journals such as Journal of Process Control, IEEE Transactions on Industrial Electronics, PLoS Biology, The Plant Cell and Plant Signaling & Behavior.

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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