Nikolaus Plesnila

2.4k total citations · 1 hit paper
15 papers, 1.9k citations indexed

About

Nikolaus Plesnila is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Nikolaus Plesnila has authored 15 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Nikolaus Plesnila's work include Mitochondrial Function and Pathology (5 papers), Cell death mechanisms and regulation (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Nikolaus Plesnila is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Cell death mechanisms and regulation (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Nikolaus Plesnila collaborates with scholars based in Germany, United States and Ireland. Nikolaus Plesnila's co-authors include Carsten Culmsee, Elisabeth Kremmer, Marcus Conrad, Wolfgang Wurst, Ulrich Schweizer, Eva K. Wirth, Olof Rådmark, Stephan Roth, Georg W. Bornkamm and Alexander Seiler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Analytical Chemistry.

In The Last Decade

Nikolaus Plesnila

15 papers receiving 1.9k 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.

Glutathione Peroxidase 4 Senses and Translates Oxidative Stress into 12/15-Lipoxygenase Dependent- and AIF-Mediated Cell Death

2008 1.1k citations Alexander Seiler, Manuela Schneider et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nikolaus Plesnila Germany	13	1.1k	661	480	255	196	15	1.9k
Jing Ji China	27	1.3k 1.1×	376 0.6×	422 0.9×	80 0.3×	75 0.4×	55	2.1k
Heike Beck Germany	22	1.7k 1.5×	252 0.4×	386 0.8×	302 1.2×	502 2.6×	37	2.9k
Stephan Roth Germany	15	997 0.9×	728 1.1×	530 1.1×	377 1.5×	58 0.3×	28	2.1k
Qing‐zhang Tuo China	15	1.6k 1.4×	1.5k 2.3×	1.1k 2.4×	257 1.0×	155 0.8×	25	3.1k
Lin Zhou China	25	832 0.7×	634 1.0×	443 0.9×	53 0.2×	100 0.5×	70	1.9k
Yuling Sun China	20	1.2k 1.1×	746 1.1×	705 1.5×	95 0.4×	246 1.3×	51	2.6k
Sho Kobayashi Japan	19	699 0.6×	573 0.9×	430 0.9×	107 0.4×	84 0.4×	40	1.3k
Nicola Perrotti Italy	30	1.4k 1.2×	184 0.3×	304 0.6×	127 0.5×	113 0.6×	92	2.4k

Countries citing papers authored by Nikolaus Plesnila

Since Specialization

Citations

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

Fields of papers citing papers by Nikolaus Plesnila

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolaus Plesnila

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

All Works

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15 of 15 papers shown

Danylchuk, Dmytro I., Igor Khalin, Yelisetty Venkata Suseela, et al.. (2025). Anionic Cyanine Membrane Probes for Live Cells and In Vivo Fluorescence Imaging. Analytical Chemistry. 97(15). 8268–8274. 3 indexed citations

Fontanaud, Pierre, Danielle Carmignac, Iain C. A. F. Robinson, et al.. (2016). Somatostatin triggers rhythmic electrical firing in hypothalamic GHRH neurons. Scientific Reports. 6(1). 24394–24394. 15 indexed citations

Schmitt, Sabine, Lilja Meissner, Josef Lichtmannegger, et al.. (2013). A semi-automated method for isolating functionally intact mitochondria from cultured cells and tissue biopsies. Analytical Biochemistry. 443(1). 66–74. 39 indexed citations

Engel, Tobías, Nikolaus Plesnila, Jochen H.M. Prehn, & David C. Henshall. (2011). In vivo Contributions of BH3-Only Proteins to Neuronal Death Following Seizures, Ischemia, and Traumatic Brain Injury. Journal of Cerebral Blood Flow & Metabolism. 31(5). 1196–1210. 57 indexed citations

Engel, Tobías, Clara K. Schindler, Nikolaus Plesnila, et al.. (2010). BH3‐only protein Bid is dispensable for seizure‐induced neuronal death and the associated nuclear accumulation of apoptosis‐inducing factor. Journal of Neurochemistry. 115(1). 92–101. 25 indexed citations

Massie, Ann, Anneleen Schallier, Ruani Fernando, et al.. (2010). Dopaminergic neurons of system x _c ^– ‐deficient mice are highly protected against 6‐hydroxydopamine‐induced toxicity. The FASEB Journal. 25(4). 1359–1369. 109 indexed citations

Virard, Isabelle, Caoimhín G. Concannon, Tobías Engel, et al.. (2009). Effects of transient focal cerebral ischemia in mice deficient in puma. Neuroscience Letters. 451(3). 237–240. 16 indexed citations

Plesnila, Nikolaus, et al.. (2009). Bid mediates fission, membrane permeabilization and peri-nuclear accumulation of mitochondria as a prerequisite for oxidative neuronal cell death. Brain Behavior and Immunity. 24(5). 831–838. 79 indexed citations

Seiler, Alexander, Manuela Schneider, Stephan Roth, et al.. (2008). Glutathione Peroxidase 4 Senses and Translates Oxidative Stress into 12/15-Lipoxygenase Dependent- and AIF-Mediated Cell Death. Cell Metabolism. 8(3). 237–248. 1123 indexed citations breakdown →

10.

Maßberg, Steffen, Michael Lorenz, Ildiko Konrad, et al.. (2005). Platelet Adhesion Via Glycoprotein IIb Integrin Is Critical for Atheroprogression and Focal Cerebral Ischemia. Circulation. 112(8). 1180–1188. 120 indexed citations

11.

Plesnila, Nikolaus. (2004). Role of mitochondrial proteins for neuronal cell death after focal cerebral ischemia. PubMed. 89. 15–19. 23 indexed citations

12.

Plesnila, Nikolaus, Sandra S. Zinkel, Sepideh Amin‐Hanjani, et al.. (2002). Function of BID – a Molecule of the bcl-2 Family – in Ischemic Cell Death in the Brain. European Surgical Research. 34(1-2). 37–41. 27 indexed citations

13.

Le, Dean A., Yongqin Wu, Zhihong Huang, et al.. (2002). Caspase activation and neuroprotection in caspase-3- deficient mice after in vivo cerebral ischemia and in vitro oxygen glucose deprivation. Proceedings of the National Academy of Sciences. 99(23). 15188–15193. 269 indexed citations

14.

Baethmann, A., et al.. (1998). Special aspects of severe head injury: recent developments. Current Opinion in Anaesthesiology. 11(2). 193–200. 21 indexed citations

15.

Staub, F., et al.. (1997). Swelling and damage of glial cells by lactacidosis and glutamate: effect of α-trinositol. Brain Research. 766(1-2). 285–288. 5 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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