Denise Slenter

2.9k total citations · 1 hit paper
8 papers, 605 citations indexed

About

Denise Slenter is a scholar working on Molecular Biology, Pharmacology and Dermatology. According to data from OpenAlex, Denise Slenter has authored 8 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Dermatology. Recurrent topics in Denise Slenter's work include Metabolomics and Mass Spectrometry Studies (3 papers), Bioinformatics and Genomic Networks (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Denise Slenter is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Bioinformatics and Genomic Networks (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Denise Slenter collaborates with scholars based in Netherlands, United States and Austria. Denise Slenter's co-authors include Egon Willighagen, Ryan A. Miller, Martina Kutmon, Friederike Ehrhart, Chris T. Evelo, Marvin Martens, Kristina Hanspers, Alexander R. Pico, Ammar Ammar and Anders Riutta and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Journal of Investigative Dermatology.

In The Last Decade

Denise Slenter

6 papers receiving 599 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.

WikiPathways: connecting communities

2020 507 citations Marvin Martens, Ammar Ammar et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Denise Slenter Netherlands	5	369	93	57	56	52	8	605
Marta R. Hidalgo Spain	13	284 0.8×	72 0.8×	39 0.7×	61 1.1×	44 0.8×	35	569
Véra Pancaldi Spain	16	518 1.4×	58 0.6×	30 0.5×	89 1.6×	86 1.7×	47	721
Carly A. Bridge United States	8	188 0.5×	118 1.3×	57 1.0×	50 0.9×	166 3.2×	10	881
Yiqun Li China	18	478 1.3×	173 1.9×	46 0.8×	23 0.4×	92 1.8×	48	813
Maike Ahrens Germany	19	531 1.4×	105 1.1×	72 1.3×	55 1.0×	115 2.2×	31	908
Kumaran Kandasamy United States	14	751 2.0×	98 1.1×	32 0.6×	55 1.0×	86 1.7×	16	991
Tobias Ehrenberger United States	6	771 2.1×	68 0.7×	39 0.7×	44 0.8×	99 1.9×	8	1.0k
Yuexu Jiang United States	13	739 2.0×	111 1.2×	26 0.5×	40 0.7×	41 0.8×	35	995
Lin‐Yang Cheng United States	5	800 2.2×	45 0.5×	41 0.7×	64 1.1×	86 1.7×	7	1.2k
Xiaobai Zhang China	17	582 1.6×	142 1.5×	127 2.2×	63 1.1×	45 0.9×	44	858

Countries citing papers authored by Denise Slenter

Since Specialization

Citations

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

Fields of papers citing papers by Denise Slenter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Slenter

This figure shows the co-authorship network connecting the top 25 collaborators of Denise Slenter. A scholar is included among the top collaborators of Denise Slenter 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 Denise Slenter. Denise Slenter 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:

8 of 8 papers shown

1.

Slenter, Denise, et al.. (2023). Extending inherited metabolic disorder diagnostics with biomarker interaction visualizations. Orphanet Journal of Rare Diseases. 18(1). 95–95.

2.

Gayo, José Emilio Labra, Andra Waagmeester, Ammar Ammar, et al.. (2023). Wikidata subsetting: Approaches, tools, and evaluation. Semantic Web. 1–27. 2 indexed citations

3.

Slenter, Denise, Martina Kutmon, Chris T. Evelo, & Egon Willighagen. (2023). Discovering life's directed metabolic (sub)paths to interpret human biochemical markers using the DSMN tool. Digital Discovery. 3(1). 81–98.

4.

Sochorová, Michaela, Kateřina Vávrová, Maria Fedorova, et al.. (2021). Research Techniques Made Simple: Lipidomic Analysis in Skin Research. Journal of Investigative Dermatology. 142(1). 4–11.e1. 7 indexed citations

5.

Kyle, Jennifer, Lucila Aimo, Alan Bridge, et al.. (2021). Interpreting the lipidome: bioinformatic approaches to embrace the complexity. Metabolomics. 17(6). 55–55. 16 indexed citations

6.

Martens, Marvin, Ammar Ammar, Anders Riutta, et al.. (2020). WikiPathways: connecting communities. Nucleic Acids Research. 49(D1). D613–D621. 507 indexed citations breakdown →

7.

Miller, Ryan A., Friederike Ehrhart, Lars Eijssen, et al.. (2019). Beyond Pathway Analysis: Identification of Active Subnetworks in Rett Syndrome. Frontiers in Genetics. 10. 59–59. 8 indexed citations

8.

Laan, Nick, et al.. (2015). Bloodstain Pattern Analysis: implementation of a fluid dynamic model for position determination of victims. Scientific Reports. 5(1). 11461–11461. 65 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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