Hannah K. Delille

555 total citations
9 papers, 469 citations indexed

About

Hannah K. Delille is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Hannah K. Delille has authored 9 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in Hannah K. Delille's work include Peroxisome Proliferator-Activated Receptors (7 papers), RNA modifications and cancer (4 papers) and Mitochondrial Function and Pathology (2 papers). Hannah K. Delille is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (7 papers), RNA modifications and cancer (4 papers) and Mitochondrial Function and Pathology (2 papers). Hannah K. Delille collaborates with scholars based in Germany, Portugal and United States. Hannah K. Delille's co-authors include Michael Schrader, Nina A. Bonekamp, Gerard J. Marek, Mario Mezler, Renato M. P. Alves, S. Guimarães, Georg H. Lüers, Marc Fransen, Georg C. Terstappen and Martin Schmidt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Cell Science and Neuropharmacology.

In The Last Decade

Hannah K. Delille

9 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannah K. Delille Germany	9	383	130	77	48	45	9	469
Gudrun Liebscher Austria	7	139 0.4×	75 0.6×	152 2.0×	93 1.9×	77 1.7×	10	423
Ingeborg Winge Norway	11	185 0.5×	72 0.6×	51 0.7×	10 0.2×	12 0.3×	17	364
Stephanie J. Mah United States	12	275 0.7×	202 1.6×	35 0.5×	53 1.1×	8 0.2×	16	471
Harumi Hata Japan	12	170 0.4×	164 1.3×	48 0.6×	8 0.2×	11 0.2×	15	334
Alexandra J. Gadiano United States	12	211 0.6×	175 1.3×	49 0.6×	17 0.4×	4 0.1×	14	422
Shihao Huang China	12	236 0.6×	83 0.6×	15 0.2×	23 0.5×	44 1.0×	40	439
Qin Shan United States	5	197 0.5×	151 1.2×	25 0.3×	21 0.4×	10 0.2×	6	355
Albert J. Uveges United States	9	401 1.0×	198 1.5×	76 1.0×	24 0.5×	3 0.1×	11	658
Ju Hwan Yang South Korea	12	212 0.6×	125 1.0×	32 0.4×	20 0.4×	5 0.1×	36	366
Samuel Bogoch United States	13	305 0.8×	100 0.8×	64 0.8×	34 0.7×	5 0.1×	55	509

Countries citing papers authored by Hannah K. Delille

Since Specialization

Citations

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

Fields of papers citing papers by Hannah K. Delille

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah K. Delille. 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 Hannah K. Delille. The network helps show where Hannah K. Delille may publish in the future.

Co-authorship network of co-authors of Hannah K. Delille

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

All Works

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9 of 9 papers shown

1.

Delille, Hannah K., Mario Mezler, & Gerard J. Marek. (2013). The two faces of the pharmacological interaction of mGlu2 and 5-HT2A – Relevance of receptor heterocomplexes and interaction through functional brain pathways. Neuropharmacology. 70. 296–305. 58 indexed citations

2.

Delille, Hannah K., Georg C. Terstappen, Martin Schmidt, et al.. (2012). Heterocomplex formation of 5-HT2A-mGlu2 and its relevance for cellular signaling cascades. Neuropharmacology. 62(7). 2184–2191. 78 indexed citations

3.

Delille, Hannah K., Gabriele Dodt, & Michael Schrader. (2011). Pex11pβ-mediated maturation of peroxisomes. Communicative & Integrative Biology. 4(1). 51–54. 13 indexed citations

4.

Delille, Hannah K., et al.. (2010). Pex11pβ-mediated growth and division of mammalian peroxisomes follows a maturation pathway. Journal of Cell Science. 123(16). 2750–2762. 75 indexed citations

5.

Delille, Hannah K., Renato M. P. Alves, & Michael Schrader. (2009). Biogenesis of peroxisomes and mitochondria: linked by division. Histochemistry and Cell Biology. 131(4). 441–446. 56 indexed citations

6.

Delille, Hannah K. & Michael Schrader. (2008). Targeting of hFis1 to Peroxisomes Is Mediated by Pex19p. Journal of Biological Chemistry. 283(45). 31107–31115. 65 indexed citations

7.

Bonekamp, Nina A., et al.. (2008). Organelle dynamics and dysfunction: A closer link between peroxisomes and mitochondria. Journal of Inherited Metabolic Disease. 32(2). 163–180. 81 indexed citations

8.

Schrader, Michael, Hannah K. Delille, & Nina A. Bonekamp. (2006). Peroxisomes and Disease - an Overview. International Journal of Biomedical Science. 2(4). 308–314. 25 indexed citations

9.

Delille, Hannah K., Nina A. Bonekamp, & Michael Schrader. (2006). Peroxisomes and disease - an overview.. PubMed. 2(4). 308–14. 18 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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