Arno Germond

556 total citations
23 papers, 390 citations indexed

About

Arno Germond is a scholar working on Molecular Biology, Biophysics and Ecology. According to data from OpenAlex, Arno Germond has authored 23 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Biophysics and 6 papers in Ecology. Recurrent topics in Arno Germond's work include Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Spectroscopy and Chemometric Analyses (6 papers) and Microbial Community Ecology and Physiology (3 papers). Arno Germond is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Spectroscopy and Chemometric Analyses (6 papers) and Microbial Community Ecology and Physiology (3 papers). Arno Germond collaborates with scholars based in Japan, France and United States. Arno Germond's co-authors include Tomonobu M. Watanabe, Hideaki Fujita, Taro Ichimura, Shinji Masui, Chikara Furusawa, Takaaki Horinouchi, Toshiyuki Nakajima, Yasmine Abouleila, Ahmed Ali and Masahiro Inouhe and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Arno Germond

21 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arno Germond Japan 9 194 130 69 53 34 23 390
Avik Mukherjee United States 7 168 0.9× 48 0.4× 54 0.8× 16 0.3× 37 1.1× 10 302
Marina V. Karakozova Russia 8 285 1.5× 24 0.2× 34 0.5× 18 0.3× 20 0.6× 15 560
H. E. Eipel Germany 10 375 1.9× 95 0.7× 123 1.8× 7 0.1× 42 1.2× 21 565
Cleidiane G. Zampronio United Kingdom 16 254 1.3× 10 0.1× 47 0.7× 62 1.2× 46 1.4× 28 677
Yunfeng Ding United States 11 549 2.8× 20 0.2× 140 2.0× 5 0.1× 26 0.8× 21 810
G. Yu. Lomakina Russia 9 191 1.0× 26 0.2× 50 0.7× 2 0.0× 25 0.7× 33 296
Michiel De Bruyne Belgium 12 260 1.3× 9 0.1× 73 1.1× 32 0.6× 9 0.3× 18 510
Alfredo E. De Ioannes Chile 15 180 0.9× 9 0.1× 61 0.9× 4 0.1× 45 1.3× 29 556
Stephanie Rankin‐Turner United States 11 192 1.0× 5 0.0× 105 1.5× 62 1.2× 9 0.3× 36 433

Countries citing papers authored by Arno Germond

Since Specialization
Citations

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

Fields of papers citing papers by Arno Germond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arno Germond

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

All Works

20 of 20 papers shown
1.
Abouleila, Yasmine, et al.. (2025). Single-cell Raman and mass spectrometry analysis to probe cellular heterogeneity in tamoxifen uptake and metabolism. Analytical and Bioanalytical Chemistry. 417(23). 5349–5358.
2.
Germond, Arno, et al.. (2024). Analyzing the complexity of animal products’ processing and its impact on sustainability. Frontiers in Sustainable Food Systems. 8. 2 indexed citations
3.
Mosoni, Laurent, Arno Germond, Cécile Coudy‐Gandilhon, et al.. (2024). Knockout of the Muscle-Specific E3 Ligase MuRF1 Affects Liver Lipid Metabolism upon Dexamethasone Treatment in Mice. ACS Omega. 9(45). 45610–45623.
4.
Astruc, Thierry, et al.. (2023). Evaluation and prediction of salt effects on pig muscle by deep UV and machine learning. Meat Science. 199. 109136–109136. 2 indexed citations
5.
Germond, Arno, et al.. (2023). The Effects of Postmortem Time on Muscle Trout Biochemical Composition and Structure. Foods. 12(10). 1957–1957. 5 indexed citations
6.
Astruc, Thierry, Annie Vénien, Sylvie Clerjon, et al.. (2022). Effect of dry salt versus brine injection plus dry salt on the physicochemical characteristics of smoked salmon after filleting. Heliyon. 8(11). e11245–e11245. 5 indexed citations
7.
Ali, Ahmed, Yasmine Abouleila, & Arno Germond. (2020). An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects. Journal of Visualized Experiments. 3 indexed citations
8.
Germond, Arno, et al.. (2020). Following Embryonic Stem Cells, Their Differentiated Progeny, and Cell-State Changes During iPS Reprogramming by Raman Spectroscopy. Analytical Chemistry. 92(22). 14915–14923. 22 indexed citations
9.
Germond, Arno, et al.. (2020). Analysis of the stability of 70 housekeeping genes during iPS reprogramming. Scientific Reports. 10(1). 21711–21711. 7 indexed citations
10.
11.
Ali, Ahmed, Yasmine Abouleila, Yoshihiro Shimizu, et al.. (2019). Single-Cell Screening of Tamoxifen Abundance and Effect Using Mass Spectrometry and Raman-Spectroscopy. Analytical Chemistry. 91(4). 2710–2718. 31 indexed citations
12.
Okamoto, Kazuko, Arno Germond, Hideaki Fujita, et al.. (2018). Single cell analysis reveals a biophysical aspect of collective cell-state transition in embryonic stem cell differentiation. Scientific Reports. 8(1). 11965–11965. 7 indexed citations
13.
Germond, Arno, et al.. (2018). Validation of Common Housekeeping Genes as Reference for qPCR Gene Expression Analysis During iPS Reprogramming Process. Scientific Reports. 8(1). 8716–8716. 83 indexed citations
14.
Germond, Arno, Taro Ichimura, Liang‐da Chiu, et al.. (2018). Cell type discrimination based on image features of molecular component distribution. Scientific Reports. 8(1). 11726–11726. 8 indexed citations
15.
Germond, Arno, Taro Ichimura, Takaaki Horinouchi, et al.. (2018). Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli. Communications Biology. 1(1). 85–85. 68 indexed citations
16.
Komori, Takahiro, Hiromi Saito, Arno Germond, et al.. (2018). Enhancement of K‐strategy evolution in histidine utilization using a container with compartments. Genes to Cells. 23(10). 893–903. 1 indexed citations
17.
Germond, Arno, Hideaki Fujita, Taro Ichimura, & Tomonobu M. Watanabe. (2016). Design and development of genetically encoded fluorescent sensors to monitor intracellular chemical and physical parameters. Biophysical Reviews. 8(2). 121–138. 77 indexed citations
18.
Germond, Arno & Soo‐Jin Kim. (2015). Genetic diversity of oxytetracycline-resistant bacteria and tet(M) genes in two major coastal areas of South Korea. Journal of Global Antimicrobial Resistance. 3(3). 166–173. 7 indexed citations
19.
Germond, Arno, Tadao Kunihiro, Masahiro Inouhe, & Toshiyuki Nakajima. (2013). Physiological changes of a green alga (Micractinium sp.) involved in an early-stage of association with Tetrahymena thermophila during 5-year microcosm culture. Biosystems. 114(3). 164–171. 15 indexed citations
20.
Germond, Arno, et al.. (2013). The phylogenetic position and phenotypic changes of a Chlorella-like alga during 5-year microcosm culture. European Journal of Phycology. 48(4). 485–496. 12 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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