Kai‐Uwe Winter

2.1k total citations · 1 hit paper
5 papers, 1.1k citations indexed

About

Kai‐Uwe Winter is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Kai‐Uwe Winter has authored 5 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Kai‐Uwe Winter's work include Plant Molecular Biology Research (3 papers), Plant Reproductive Biology (3 papers) and Plant and animal studies (2 papers). Kai‐Uwe Winter is often cited by papers focused on Plant Molecular Biology Research (3 papers), Plant Reproductive Biology (3 papers) and Plant and animal studies (2 papers). Kai‐Uwe Winter collaborates with scholars based in Germany, Australia and Panama. Kai‐Uwe Winter's co-authors include Heinz Saedler, Günter Theißen, Annette Becker, Thomas Münster, Jan T. Kim, Akira Kanno, John C. Cushman, Hans Gehrig, Anne M. Borland and Tahar Taybi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Journal and Molecular Biology and Evolution.

In The Last Decade

Kai‐Uwe Winter

5 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A short history of MADS-box genes in plants

2000 540 citations Günter Theißen, Annette Becker et al. Plant Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai‐Uwe Winter Germany	5	957	932	306	35	19	5	1.1k
Hugo Pacheco de Freitas Fraga Brazil	16	677 0.7×	547 0.6×	183 0.6×	68 1.9×	50 2.6×	45	794
Natalia Pabón‐Mora Colombia	18	754 0.8×	761 0.8×	439 1.4×	44 1.3×	16 0.8×	80	1.1k
Stefan Gleissberg Germany	16	683 0.7×	690 0.7×	252 0.8×	19 0.5×	5 0.3×	22	869
René Richter Germany	17	1.1k 1.2×	1.5k 1.6×	73 0.2×	55 1.6×	8 0.4×	18	1.6k
Marian Bemer Netherlands	18	1.2k 1.3×	1.5k 1.6×	91 0.3×	84 2.4×	26 1.4×	28	1.7k
Lena G. Fraser New Zealand	13	448 0.5×	490 0.5×	123 0.4×	189 5.4×	42 2.2×	36	710
Caroline Burgeff Mexico	9	799 0.8×	892 1.0×	76 0.2×	46 1.3×	6 0.3×	9	995
J. E. Grant New Zealand	19	468 0.5×	761 0.8×	151 0.5×	41 1.2×	34 1.8×	38	927
Jin‐Yong Hu China	15	501 0.5×	616 0.7×	97 0.3×	69 2.0×	9 0.5×	33	777
Mingli Xu United States	16	1.1k 1.2×	1.6k 1.7×	75 0.2×	69 2.0×	17 0.9×	21	1.7k

Countries citing papers authored by Kai‐Uwe Winter

Since Specialization

Citations

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

Fields of papers citing papers by Kai‐Uwe Winter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Uwe Winter. 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 Kai‐Uwe Winter. The network helps show where Kai‐Uwe Winter may publish in the future.

Co-authorship network of co-authors of Kai‐Uwe Winter

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Winter, Kai‐Uwe, et al.. (2002). Evolution of Class B Floral Homeotic Proteins: Obligate Heterodimerization Originated from Homodimerization. Molecular Biology and Evolution. 19(5). 587–596. 129 indexed citations

2.

Winter, Kai‐Uwe, Heinz Saedler, & Günter Theißen. (2002). On the origin of class B floral homeotic genes: functional substitution and dominant inhibition in Arabidopsis by expression of an orthologue from the gymnosperm Gnetum. The Plant Journal. 31(4). 457–475. 71 indexed citations

3.

Theißen, Günter, Annette Becker, Akira Kanno, et al.. (2000). A short history of MADS-box genes in plants. Plant Molecular Biology. 42(1). 115–149. 540 indexed citations breakdown →

4.

Gehrig, Hans, Kai‐Uwe Winter, John C. Cushman, Anne M. Borland, & Tahar Taybi. (2000). An improved RNA isolation method for succulent plant species rich in polyphenols and polysaccharides. Plant Molecular Biology Reporter. 18(4). 369–376. 143 indexed citations

5.

Winter, Kai‐Uwe, Annette Becker, Thomas Münster, et al.. (1999). MADS-box genes reveal that gnetophytes are more closely related to conifers than to flowering plants. Proceedings of the National Academy of Sciences. 96(13). 7342–7347. 259 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.

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