Felix Hövelmann

811 total citations
11 papers, 442 citations indexed

About

Felix Hövelmann is a scholar working on Molecular Biology, Ecology and Epidemiology. According to data from OpenAlex, Felix Hövelmann has authored 11 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 1 paper in Ecology and 1 paper in Epidemiology. Recurrent topics in Felix Hövelmann's work include Advanced biosensing and bioanalysis techniques (8 papers), DNA and Nucleic Acid Chemistry (5 papers) and RNA Interference and Gene Delivery (4 papers). Felix Hövelmann is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), DNA and Nucleic Acid Chemistry (5 papers) and RNA Interference and Gene Delivery (4 papers). Felix Hövelmann collaborates with scholars based in Germany, Denmark and China. Felix Hövelmann's co-authors include Oliver Seitz, Anne Ephrussi, Imre Gáspár, Lucas Bethge, J. Steffen, Marc‐André Kasper, Beate Röder, Eugeny Ermilov, Jesper Wengel and Ge‐Min Fang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Accounts of Chemical Research.

In The Last Decade

Felix Hövelmann

11 papers receiving 442 citations

Peers

Felix Hövelmann

MB

OC

MC

BE

SPECT

Elke Socher Germany

Saswata Karmakar United States

Michael A. Marques United States

Chi‐hong B. Chen United States

Ryu Tashiro Japan

Keiichiro Kanatani Japan

Roberto El-Khoury Canada

Chenguang Lou Denmark

Rodrigo Cuevas Arenas Germany

Qinglin Meng United States

Elke Socher Germany

Felix Hövelmann

536 ×1.3

MB

124 ×1.7

OC

68 ×1.1

MC

67 ×1.2

BE

21 ×0.8

SPECT

Citations per year, relative to Felix Hövelmann Felix Hövelmann (= 1×) peers Elke Socher

Countries citing papers authored by Felix Hövelmann

Since Specialization

Citations

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

Fields of papers citing papers by Felix Hövelmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Hövelmann

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

All Works

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11 of 11 papers shown

1.

Fang, Ge‐Min, et al.. (2018). A bright FIT-PNA hybridization probe for the hybridization state specific analysis of a C → U RNA edit via FRET in a binary system. Chemical Science. 9(21). 4794–4800. 29 indexed citations

2.

Gáspár, Imre, et al.. (2018). Quantitative mRNA Imaging with Dual Channel qFIT Probes to Monitor Distribution and Degree of Hybridization. ACS Chemical Biology. 13(3). 742–749. 14 indexed citations

3.

Fang, Ge‐Min, et al.. (2018). Comparing Agent‐Based Delivery of DNA and PNA Forced Intercalation (FIT) Probes for Multicolor mRNA Imaging. ChemBioChem. 20(4). 595–604. 16 indexed citations

4.

Haralampiev, Ivan, Matthias A. Schade, Peter T. Witkowski, et al.. (2017). A Fluorescent RNA Forced‐Intercalation Probe as a Pan‐Selective Marker for Influenza A Virus Infection. ChemBioChem. 18(16). 1589–1592. 7 indexed citations

5.

Hövelmann, Felix, Katarzyna M. Kedziora, André Nadler, et al.. (2016). Optotaxis: Caged Lysophosphatidic Acid Enables Optical Control of a Chemotactic Gradient. Cell chemical biology. 23(5). 629–634. 17 indexed citations

6.

Hövelmann, Felix & Oliver Seitz. (2016). DNA Stains as Surrogate Nucleobases in Fluorogenic Hybridization Probes. Accounts of Chemical Research. 49(4). 714–723. 91 indexed citations

7.

Hövelmann, Felix, Imre Gáspár, Marc‐André Kasper, et al.. (2015). LNA-enhanced DNA FIT-probes for multicolour RNA imaging. Chemical Science. 7(1). 128–135. 65 indexed citations

8.

Hövelmann, Felix, Imre Gáspár, Eugeny Ermilov, et al.. (2014). Brightness through Local Constraint—LNA‐Enhanced FIT Hybridization Probes for In Vivo Ribonucleotide Particle Tracking. Angewandte Chemie International Edition. 53(42). 11370–11375. 55 indexed citations

9.

Hövelmann, Felix, Imre Gáspár, Eugeny Ermilov, et al.. (2014). Helligkeit durch lokale Rigidifizierung – LNA‐verstärkte FIT‐Sonden zur bildgebenden Darstellung von Ribonukleotidpartikeln in vivo. Angewandte Chemie. 126(42). 11553–11558. 8 indexed citations

10.

Hövelmann, Felix, Imre Gáspár, Anne Ephrussi, & Oliver Seitz. (2013). Brightness Enhanced DNA FIT-Probes for Wash-Free RNA Imaging in Tissue. Journal of the American Chemical Society. 135(50). 19025–19032. 101 indexed citations

11.

Hövelmann, Felix, Lucas Bethge, & Oliver Seitz. (2012). Single Labeled DNA FIT Probes for Avoiding False‐Positive Signaling in the Detection of DNA/RNA in qPCR or Cell Media. ChemBioChem. 13(14). 2072–2081. 39 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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