Jan‐Philip Prahl

14 total papers · 490 total citations
8 papers, 265 citations indexed

About

Jan‐Philip Prahl is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Jan‐Philip Prahl has authored 8 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Biomedical Engineering and 1 paper in Pharmacology. Recurrent topics in Jan‐Philip Prahl's work include Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (3 papers) and Enzyme Catalysis and Immobilization (2 papers). Jan‐Philip Prahl is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (3 papers) and Enzyme Catalysis and Immobilization (2 papers). Jan‐Philip Prahl collaborates with scholars based in United States, China and Germany. Jan‐Philip Prahl's co-authors include Deepti Tanjore, Aindrila Mukhopadhyay, Jay D. Keasling, Deepanwita Banerjee, Thomas Eng, Robin A. Herbert, Vasanth Singan, Todd Pray, Yuzhong Liu and Yan Chen and has published in prestigious journals such as Nature Communications, Green Chemistry and Biotechnology and Bioengineering.

In The Last Decade

Jan‐Philip Prahl

8 papers receiving 264 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jan‐Philip Prahl	222	119	67	34	22	8	265
Christopher M. Gowen	274 1.2×	183 1.5×	49 0.7×	15 0.4×	9 0.4×	8	324
Constantinos Patinios	247 1.1×	70 0.6×	40 0.6×	22 0.6×	24 1.1×	11	323
Simo Abdessamad Baallal Jacobsen	278 1.3×	40 0.3×	36 0.5×	26 0.8×	18 0.8×	7	326
Yu‐Zhou Wang	249 1.1×	49 0.4×	25 0.4×	21 0.6×	28 1.3×	10	305
Vinh Tran	279 1.3×	151 1.3×	24 0.4×	12 0.4×	15 0.7×	13	326
Katherina García Vanegas	251 1.1×	35 0.3×	52 0.8×	44 1.3×	8 0.4×	7	282
Abeer Hossain	203 0.9×	128 1.1×	34 0.5×	21 0.6×	15 0.7×	9	253
Mohammad Radi	259 1.2×	152 1.3×	57 0.9×	10 0.3×	40 1.8×	7	328
Jing Wu	291 1.3×	131 1.1×	25 0.4×	12 0.4×	52 2.4×	14	318
Garrett W. Roell	219 1.0×	102 0.9×	25 0.4×	7 0.2×	17 0.8×	6	304

Countries citing papers authored by Jan‐Philip Prahl

Since Specialization

Citations

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

Fields of papers citing papers by Jan‐Philip Prahl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan‐Philip Prahl

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

All Works

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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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