Hanna Witucka‐Wall

1.8k citations
13 papers · 1.4k indexed · h-index 11
Topics
Genetic Mapping and Diversity in Plants and Animals (5 papers)Plant Gene Expression Analysis (4 papers)Plant Molecular Biology Research (4 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Plant Cell

In The Last Decade

Hanna Witucka‐Wall

13 papers receiving 1.4k citations

Peers

Hanna Witucka‐Wall
Comparison fields: 5 of 71
  • Plant Science 1.0k
  • Molecular Biology 670
  • Genetics 360
  • Global and Planetary Change 82
  • Biomedical Engineering 64
Replace Makoto Hakata with:
Makoto Hakata Japan
Sandra N. Oliver Australia
Zahide Neslihan Öztürk Gökçe Türkiye
Angelika Czedik‐Eysenberg Germany
Fabien Porée Germany
Sandra Trenkamp Germany
Mónica Meijón Spain
Frédérique Bitton France
Jung‐Il Cho South Korea
Tesfamichael H. Kebrom United States
Hanna Witucka‐Wall relative to Makoto Hakata Japan Makoto Hakata's profile →
Citations per field
00.5×1.5×2.3×
Makoto Hakata · 1×
Citations per year

Countries citing papers authored by Hanna Witucka‐Wall

Since Specialization
Citations

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

Fields of papers citing papers by Hanna Witucka‐Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanna Witucka‐Wall. 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 Hanna Witucka‐Wall. The network helps show where Hanna Witucka‐Wall may publish in the future.

Co-authorship network of co-authors of Hanna Witucka‐Wall

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 107
2 10
3 117
4 428
5 20
6 34
7 6
8 299
9
Profile ekspresji genów w tętniaku aorty brzusznej i w niedrożności aortalno-biodrowej, oceniane techniką macierzy cDNA Atlas
1
10 166
11 82
12 67
13 34

About Hanna Witucka‐Wall

Hanna Witucka‐Wall is a scholar working on Plant Science, Genetics and Biochemistry, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Plant Gene Expression Analysis (4 papers) and Plant Molecular Biology Research (4 papers). The work is most often cited by research in Plant Science (1.0k citations), Genetics (360 citations) and Molecular Biology (670 citations). Hanna Witucka‐Wall has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Thomas Altmann, Matthias Steinfath, Joachim Selbig, Rhonda C. Meyer, Ottó Törjék, Martina Becher, Lothar Willmitzer, Jan Lisec, Oliver Fiehn and Maria von Korff. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Plant Cell.

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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