Henry Oppermann

714 total citations
31 papers, 444 citations indexed

About

Henry Oppermann is a scholar working on Physiology, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Henry Oppermann has authored 31 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 11 papers in Organic Chemistry and 10 papers in Molecular Biology. Recurrent topics in Henry Oppermann's work include Free Radicals and Antioxidants (11 papers), Biochemical effects in animals (11 papers) and Stress Responses and Cortisol (8 papers). Henry Oppermann is often cited by papers focused on Free Radicals and Antioxidants (11 papers), Biochemical effects in animals (11 papers) and Stress Responses and Cortisol (8 papers). Henry Oppermann collaborates with scholars based in Germany, Russia and United States. Henry Oppermann's co-authors include Frank Gaunitz, Jürgen Meixensberger, Jürgen Meixensberger, Claudia Birkemeyer, Victoria I. Bunik, Nikolay V. Lukashev, Artem V. Artiukhov, A. V. KAZANTSEV, Vasily A. Aleshin and Rolf Gebhardt and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

Henry Oppermann

30 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry Oppermann Germany 14 208 120 86 84 59 31 444
Elisa Zappelli Italy 16 290 1.4× 49 0.4× 86 1.0× 54 0.6× 65 1.1× 20 599
Hátylas Azevedo Brazil 14 286 1.4× 27 0.2× 54 0.6× 53 0.6× 35 0.6× 35 526
Fanjie Zhang United States 7 471 2.3× 34 0.3× 124 1.4× 80 1.0× 15 0.3× 8 657
Ilana Spanier Israel 12 312 1.5× 47 0.4× 39 0.5× 40 0.5× 36 0.6× 13 561
Takashi Shimada Japan 10 149 0.7× 20 0.2× 60 0.7× 56 0.7× 24 0.4× 36 455
Ji Eun Kim South Korea 11 540 2.6× 27 0.2× 102 1.2× 168 2.0× 12 0.2× 21 742
Jérôme Côté Canada 19 285 1.4× 81 0.7× 14 0.2× 37 0.4× 168 2.8× 40 852
Annakaisa M. Herrala Finland 14 309 1.5× 84 0.7× 60 0.7× 15 0.2× 42 0.7× 22 706
Mayca Onega United Kingdom 16 226 1.1× 41 0.3× 43 0.5× 148 1.8× 7 0.1× 18 696
James A. Lynham United Kingdom 13 420 2.0× 141 1.2× 25 0.3× 24 0.3× 24 0.4× 14 590

Countries citing papers authored by Henry Oppermann

Since Specialization
Citations

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

Fields of papers citing papers by Henry Oppermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry Oppermann

This figure shows the co-authorship network connecting the top 25 collaborators of Henry Oppermann. A scholar is included among the top collaborators of Henry Oppermann 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 Henry Oppermann. Henry Oppermann 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.
Popp, Denny, et al.. (2025). Incorporating Nanopore Sequencing Into a Diverse Diagnostic Toolkit for Incontinentia Pigmenti. Human Mutation. 2025(1). 6657400–6657400. 1 indexed citations
2.
Bach, Christian, Annegret Glasow, Henry Oppermann, et al.. (2024). Rapid and reproducible generation of glioblastoma spheroids for high-throughput drug screening. Frontiers in Bioengineering and Biotechnology. 12. 1471012–1471012. 1 indexed citations
3.
Schnabel, Freya, Anne Sophie Kubasch, Madlen Jentzsch, et al.. (2024). Thiamine-Responsive Megaloblastic Anemia Syndrome Mimicking Myelodysplastic Neoplasm. Acta Haematologica. 148(4). 380–385.
4.
Riley, Lisa G., Purvi M. Kakadia, Stefan K. Bohlander, et al.. (2023). Biallelic ATP2B1 variants as a likely cause of a novel neurodevelopmental malformation syndrome with primary hypoparathyroidism. European Journal of Human Genetics. 32(1). 125–129. 3 indexed citations
5.
Sander, Caroline, et al.. (2021). Causes and Predictors of Unplanned Readmission in Cranial Neurosurgery. World Neurosurgery. 149. e622–e635. 8 indexed citations
6.
Jamra, Rami Abou, et al.. (2021). Exome first approach to reduce diagnostic costs and time – retrospective analysis of 111 individuals with rare neurodevelopmental disorders. European Journal of Human Genetics. 30(1). 117–125. 26 indexed citations
8.
Oppermann, Henry, et al.. (2019). Carnosine’s inhibitory effect on glioblastoma cell growth is independent of its cleavage. Amino Acids. 51(5). 761–772. 11 indexed citations
9.
Oppermann, Henry, et al.. (2019). d,l-Methadone does not improve radio- and chemotherapy in glioblastoma in vitro. Cancer Chemotherapy and Pharmacology. 83(6). 1017–1024. 11 indexed citations
10.
Oppermann, Henry, et al.. (2019). The proton-coupled oligopeptide transporters PEPT2, PHT1 and PHT2 mediate the uptake of carnosine in glioblastoma cells. Amino Acids. 51(7). 999–1008. 25 indexed citations
11.
Oppermann, Henry, et al.. (2019). Carnosine inhibits glioblastoma growth independent from PI3K/Akt/mTOR signaling. PLoS ONE. 14(6). e0218972–e0218972. 26 indexed citations
12.
Oppermann, Henry, Frank Gaunitz, Wolf Müller, et al.. (2019). Assessment of ApoC1, LuzP6, C12orf75 and OCC-1 in cystic glioblastoma using MALDI–TOF mass spectrometry, immunohistochemistry and qRT-PCR. Medical Molecular Morphology. 52(4). 217–225. 6 indexed citations
13.
Oppermann, Henry, et al.. (2018). Carnosine selectively inhibits migration of IDH-wildtype glioblastoma cells in a co-culture model with fibroblasts. Cancer Cell International. 18(1). 111–111. 14 indexed citations
15.
Oppermann, Henry, et al.. (2016). Metabolic response of glioblastoma cells associated with glucose withdrawal and pyruvate substitution as revealed by GC-MS. Nutrition & Metabolism. 13(1). 70–70. 27 indexed citations
16.
Bunik, Victoria I., Artem V. Artiukhov, A. V. KAZANTSEV, et al.. (2015). Specific inhibition by synthetic analogs of pyruvate reveals that the pyruvate dehydrogenase reaction is essential for metabolism and viability of glioblastoma cells. Oncotarget. 6(37). 40036–40052. 22 indexed citations
17.
Oppermann, Henry, et al.. (2014). The antineoplastic effect of carnosine is accompanied by induction of PDK4 and can be mimicked by l-histidine. Amino Acids. 46(4). 1009–1019. 24 indexed citations
18.
Heise, Kerstin, Henry Oppermann, Jürgen Meixensberger, Rolf Gebhardt, & Frank Gaunitz. (2013). Dual Luciferase Assay for Secreted Luciferases Based on Gaussia and NanoLuc. Assay and Drug Development Technologies. 11(4). 244–252. 18 indexed citations
19.
Oppermann, Henry, Christof Renner, Rolf Gebhardt, et al.. (2012). Hedgehog signaling in glioblastoma multiforme. Cancer Biology & Therapy. 13(7). 487–495. 35 indexed citations
20.
Hönig, A., et al.. (1996). EFFECT OF ARTERIAL CHEMORECEPTOR STIMULATION WITH ALMITRINE BISMESYLATE ON PLASMA RENIN ACTIVITY, ALDOSTERONE, ACTH AND CORTISOL IN ANAESTHETIZED, ARTIFICIALLY VENTILATED CATS. Clinical and Experimental Pharmacology and Physiology. 23(2). 106–110. 1 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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