Jan Chojecki

760 total citations
12 papers, 542 citations indexed

About

Jan Chojecki is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Jan Chojecki has authored 12 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 8 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Jan Chojecki's work include Wheat and Barley Genetics and Pathology (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Genetics and Plant Breeding (5 papers). Jan Chojecki is often cited by papers focused on Wheat and Barley Genetics and Pathology (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Genetics and Plant Breeding (5 papers). Jan Chojecki collaborates with scholars based in United Kingdom, United States and Denmark. Jan Chojecki's co-authors include N. Pratchett, D. A. Laurie, Mike Kearsey, Bernard B. Monties, Claire Halpin, Brigitte Chabbert, Abdellah Barakate, Karen Holt, B. E. Zehr and Howard Thomas and has published in prestigious journals such as The Plant Journal, Theoretical and Applied Genetics and Plant Molecular Biology.

In The Last Decade

Jan Chojecki

12 papers receiving 514 citations

Peers

Jan Chojecki

PS

MB

GENET

BE

ACS

Joachim Eder Germany

Imad Zein Germany

Amy M. Clore United States

Kazuko Morino Japan

Piwu Wang China

Tui Ray United States

P. Hagberg Sweden

Ricky J. Milne Australia

Néro Borrega France

Rihua Piao South Korea

Joachim Eder Germany

Jan Chojecki

469 ×1.2

PS

256 ×1.1

MB

246 ×1.2

GENET

44 ×0.4

BE

64 ×0.7

ACS

Citations per year, relative to Jan Chojecki Jan Chojecki (= 1×) peers Joachim Eder

Countries citing papers authored by Jan Chojecki

Since Specialization

Citations

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

Fields of papers citing papers by Jan Chojecki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Chojecki

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

All Works

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12 of 12 papers shown

1.

Maroof, M. A. Saghai, Qifa Zhang, & Jan Chojecki. (2004). RFLPs in Cultivated Barley and Their Application in the Evaluation of Malting Quality Cultivars. Hereditas. 121(1). 21–29. 1 indexed citations

2.

Halpin, Claire, Karen Holt, Jan Chojecki, et al.. (1998). Brown-midrib maize (bm1)-a mutation affecting the cinnamyl alcohol dehydrogenase gene. HAL (Le Centre pour la Communication Scientifique Directe). 9 indexed citations

3.

Halpin, Claire, Karen Holt, Jan Chojecki, et al.. (1998). Brown‐midrib maize (bm1) – a mutation affecting the cinnamyl alcohol dehydrogenase gene. The Plant Journal. 14(5). 545–553. 211 indexed citations

4.

Griffiths, Catherine, et al.. (1997). Sequencing, expression pattern and RFLP mapping of a senescence-enhanced cDNA from Zea mays with high homology to oryzain γ and aleurain. Plant Molecular Biology. 34(5). 815–821. 46 indexed citations

5.

Laurie, D. A., et al.. (1997). Mapping QTL controlling yield and yield components in a spring barley (Hordeum vulgare L.) cross using marker regression. Molecular Breeding. 3(1). 29–38. 74 indexed citations

6.

Laurie, D. A., et al.. (1997). Mapping of QTL controlling NIR predicted hot water extract and grain nitrogen content in a spring barley cross using marker‐regression. Plant Breeding. 116(2). 141–145. 37 indexed citations

7.

Laurie, D. A., et al.. (1996). Marker regression mapping of QTL controlling flowering time and plant height in a spring barley (Hordeum vulgare L.) cross. Heredity. 77(1). 64–73. 7 indexed citations

8.

Laurie, D. A., et al.. (1996). Marker regression mapping of QTL controlling flowering time and plant height in a spring barley (Hordeum vulgare L.) cross. Heredity. 77(1). 64–73. 81 indexed citations

9.

Zehr, B. E., J. W. Dudley, & Jan Chojecki. (1992). Some practical considerations for using RFLP markers to aid in selection during inbreeding of maize. Theoretical and Applied Genetics. 84-84(5-6). 704–708. 7 indexed citations

10.

Zehr, B. E., et al.. (1992). Use of RFLP markers to search for alleles in a maize population for improvement of an elite hybrid. Theoretical and Applied Genetics. 83-83(6-7). 903–911. 32 indexed citations

11.

Chojecki, Jan. (1986). Identification and characterisation of a cDNA clone for cytosolic glyceraldehyde-3-phosphate dehydrogenase in barley. Carlsberg Research Communications. 51(3). 203–210. 23 indexed citations

12.

Chojecki, Jan. (1986). Identification and characterisation of a cDNA clone for histone H3 in barley. Carlsberg Research Communications. 51(3). 211–217. 14 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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