Jan-Peter Nap

794 total citations
11 papers, 655 citations indexed

About

Jan-Peter Nap is a scholar working on Molecular Biology, Plant Science and Pollution. According to data from OpenAlex, Jan-Peter Nap has authored 11 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Pollution. Recurrent topics in Jan-Peter Nap's work include Plant Virus Research Studies (2 papers), Plant nutrient uptake and metabolism (2 papers) and Energy and Environment Impacts (2 papers). Jan-Peter Nap is often cited by papers focused on Plant Virus Research Studies (2 papers), Plant nutrient uptake and metabolism (2 papers) and Energy and Environment Impacts (2 papers). Jan-Peter Nap collaborates with scholars based in Netherlands, New Zealand and Slovakia. Jan-Peter Nap's co-authors include Willem J. Stiekema, Anthony J. Conner, Jos Molthoff, Andy Pereira, Fred A. van Engelen, P. Terpstra, Ritsert C. Jansen, Rainer Breitling, Rudi Alberts and Yang Li and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Energy Conversion and Management.

In The Last Decade

Jan-Peter Nap

11 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan-Peter Nap Netherlands 8 462 367 115 76 40 11 655
L. Mazzolini France 11 552 1.2× 399 1.1× 103 0.9× 60 0.8× 32 0.8× 12 776
Jan Trnovsky Austria 6 386 0.8× 304 0.8× 101 0.9× 36 0.5× 19 0.5× 7 519
Ilham A. Shahmuradov United Kingdom 9 618 1.3× 384 1.0× 53 0.5× 96 1.3× 27 0.7× 11 834
Sara Movahedi United Kingdom 16 595 1.3× 434 1.2× 138 1.2× 94 1.2× 9 0.2× 24 913
Pavan Umate India 17 643 1.4× 448 1.2× 29 0.3× 38 0.5× 20 0.5× 30 847
Xiaomin Si China 9 752 1.6× 631 1.7× 70 0.6× 125 1.6× 87 2.2× 13 983
Rik van Blokland Netherlands 14 945 2.0× 788 2.1× 178 1.5× 116 1.5× 15 0.4× 15 1.1k
Mokhtar Jalali Javaran Iran 14 249 0.5× 290 0.8× 109 0.9× 58 0.8× 6 0.1× 52 482
Henri van de Geest Netherlands 11 428 0.9× 526 1.4× 22 0.2× 77 1.0× 20 0.5× 18 696
Yutaka Tabei Japan 15 523 1.1× 591 1.6× 137 1.2× 87 1.1× 4 0.1× 56 744

Countries citing papers authored by Jan-Peter Nap

Since Specialization
Citations

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

Fields of papers citing papers by Jan-Peter Nap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan-Peter Nap

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

All Works

11 of 11 papers shown
1.
Nap, Jan-Peter, et al.. (2024). Public acceptance of biomass for bioenergy: The need for feedstock differentiation and communicating a waste utilization frame. Renewable and Sustainable Energy Reviews. 202. 114670–114670. 10 indexed citations
2.
Bekkering, Jan & Jan-Peter Nap. (2023). Energy self-sufficiency and sustainability in a defined neighbourhood: Bio-methanation to green gas can outperform green hydrogen. Energy Conversion and Management. 292. 117370–117370. 4 indexed citations
3.
Nap, Jan-Peter, et al.. (2023). Message Framing and Attitudes Toward Green Gas Facilities in Rural Communities of The Netherlands. SAGE Open. 13(3). 1 indexed citations
4.
Warris, Sven, et al.. (2014). Fast selection of miRNA candidates based on large-scale pre-computed MFE sets of randomized sequences. BMC Research Notes. 7(1). 34–34. 7 indexed citations
5.
Burgt, Ate van der, et al.. (2009). In silico miRNA prediction in metazoan genomes: balancing between sensitivity and specificity. BMC Genomics. 10(1). 204–204. 31 indexed citations
6.
Alberts, Rudi, P. Terpstra, Yang Li, et al.. (2007). Sequence Polymorphisms Cause Many False cis eQTLs. PLoS ONE. 2(7). e622–e622. 99 indexed citations
7.
Alberts, Rudi, P. Terpstra, Leonid Bystrykh, et al.. (2007). A verification protocol for the probe sequences of Affymetrix genome arrays reveals high probe accuracy for studies in mouse, human and rat. BMC Bioinformatics. 8(1). 132–132. 11 indexed citations
8.
Conner, Anthony J., L. C. P. Keizer, Ľudmila Mlynárová, Willem J. Stiekema, & Jan-Peter Nap. (1998). Evaluation of diallel analysis using β-glucuronidase activity from transgenes in Nicotiana tabacum. Euphytica. 102(2). 161–168. 5 indexed citations
9.
Engelen, Fred A. van, Jos Molthoff, Anthony J. Conner, et al.. (1995). pBINPLUS: An improved plant transformation vector based on pBIN19. Transgenic Research. 4(4). 288–290. 450 indexed citations
11.
Dirkse, Wim G., et al.. (1991). Isolation and analysis of cDNA encoding the 33 kDa precursor protein of the oxygen-evolving complex of potato. Plant Molecular Biology. 17(1). 157–160. 10 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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