W. Melzer

3.2k total citations
71 papers, 2.7k citations indexed

About

W. Melzer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, W. Melzer has authored 71 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 45 papers in Cellular and Molecular Neuroscience and 24 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in W. Melzer's work include Ion channel regulation and function (53 papers), Neuroscience and Neural Engineering (33 papers) and Cardiac electrophysiology and arrhythmias (21 papers). W. Melzer is often cited by papers focused on Ion channel regulation and function (53 papers), Neuroscience and Neural Engineering (33 papers) and Cardiac electrophysiology and arrhythmias (21 papers). W. Melzer collaborates with scholars based in Germany, United States and Austria. W. Melzer's co-authors include Annegret Herrmann-Frank, H C Lüttgau, Eduardo Rı́os, Martin F. Schneider, Daniel Ursu, S. Kalbitzer, Martin F. Schneider, F. Lehmann‐Horn, Barbara Pohl and Dirk Feldmeyer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

W. Melzer

69 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W. Melzer Germany	28	2.1k	1.5k	896	441	223	71	2.7k
James L. Rae United States	24	1.8k 0.8×	988 0.7×	477 0.5×	148 0.3×	301 1.3×	53	2.4k
Howard S. Ying United States	30	1.2k 0.6×	910 0.6×	133 0.1×	439 1.0×	311 1.4×	93	3.7k
John E. Chad United Kingdom	19	1.4k 0.7×	1.4k 1.0×	379 0.4×	67 0.2×	131 0.6×	67	2.2k
F. J. Brinley United States	26	1.6k 0.8×	1.6k 1.1×	129 0.1×	196 0.4×	210 0.9×	39	2.7k
H. D. Lux Germany	42	3.9k 1.9×	4.8k 3.3×	536 0.6×	144 0.3×	427 1.9×	88	6.1k
Frank Lehmann‐Horn Germany	46	5.6k 2.7×	3.4k 2.4×	3.2k 3.6×	372 0.8×	432 1.9×	147	7.0k
H. Meves Germany	30	2.7k 1.3×	2.8k 1.9×	555 0.6×	190 0.4×	250 1.1×	105	4.1k
R. David Andrew Canada	36	1.4k 0.7×	2.3k 1.6×	102 0.1×	123 0.3×	448 2.0×	78	4.0k
Stephen J. Korn United States	25	1.4k 0.7×	1.2k 0.8×	659 0.7×	68 0.2×	99 0.4×	47	1.9k
Antonius M.J. VanDongen United States	33	2.5k 1.2×	1.9k 1.3×	736 0.8×	124 0.3×	188 0.8×	62	3.3k

Countries citing papers authored by W. Melzer

Since Specialization

Citations

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

Fields of papers citing papers by W. Melzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Melzer

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

All Works

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20 of 20 papers shown

Föhr, Karl J., et al.. (2017). The Ca2+ influx through the mammalian skeletal muscle dihydropyridine receptor is irrelevant for muscle performance. Nature Communications. 8(1). 475–475. 60 indexed citations

Melzer, W.. (2013). Skeletal muscle fibers: Inactivated or depleted after long depolarizations?. The Journal of General Physiology. 141(5). 517–520. 3 indexed citations

Hamilton, Susan L., et al.. (2009). A retrograde signal from RyR1 alters DHP receptor inactivation and limits window Ca ²⁺ release in muscle fibers of Y522S RyR1 knock-in mice. Proceedings of the National Academy of Sciences. 106(11). 4531–4536. 52 indexed citations

Ursu, Daniel, et al.. (2009). Local calcium signals induced by hyper-osmotic stress in mammalian skeletal muscle cells. Journal of Muscle Research and Cell Motility. 30(3-4). 97–109. 23 indexed citations

Maljevic, Snezana, Klaus Krampfl, Joana Cobilanschi, et al.. (2006). A mutation in the GABA_A receptor α₁‐subunit is associated with absence epilepsy. Annals of Neurology. 59(6). 983–987. 154 indexed citations

Gouadon, Elodie, et al.. (2006). A possible role of the junctional face protein JP‐45 in modulating Ca²⁺ release in skeletal muscle. The Journal of Physiology. 572(1). 269–280. 19 indexed citations

Capote, Joana, et al.. (2005). Calcium transients in developing mouse skeletal muscle fibres. The Journal of Physiology. 564(2). 451–464. 47 indexed citations

Gouadon, Elodie, et al.. (2004). Functional Interaction of CaV Channel Isoforms with Ryanodine Receptors Studied in Dysgenic Myotubes. Biophysical Journal. 88(3). 1765–1777. 8 indexed citations

Ursu, Daniel, et al.. (2001). Excitation‐contraction coupling in skeletal muscle of a mouse lacking the dihydropyridine receptor subunit γ1. The Journal of Physiology. 533(2). 367–377. 34 indexed citations

10.

Hofmann, Franz, et al.. (2000). Effects of the dihydropyridine receptor subunits γ and α2δ on the kinetics of heterologously expressed L-type Ca2+ channels. Pflügers Archiv - European Journal of Physiology. 439(6). 691–699. 24 indexed citations

11.

Kovács, László, et al.. (1999). Kinetics of inactivation and restoration from inactivation of the L‐type calcium current in human myotubes. The Journal of Physiology. 516(1). 129–138. 13 indexed citations

12.

Jurkat‐Rott, Karin, et al.. (1998). Calcium currents and transients of native and heterologously expressed mutant skeletal muscle DHP receptor α1 subunits (R528H). FEBS Letters. 423(2). 198–204. 51 indexed citations

13.

Timmer, Jens, Thomas Müller, & W. Melzer. (1998). Numerical Methods to Determine Calcium Release Flux from Calcium Transients in Muscle Cells. Biophysical Journal. 74(4). 1694–1707. 25 indexed citations

14.

Szücs, G, et al.. (1998). Fura-2 calcium signals in skeletal muscle fibres loaded with high concentrations of EGTA. Cell Calcium. 23(1). 23–32. 11 indexed citations

15.

Melzer, W., et al.. (1997). l-type calcium current activation in cultured human myotubes. Journal of Muscle Research and Cell Motility. 18(3). 353–367. 10 indexed citations

16.

Melzer, W., et al.. (1995). Applications of SNMS in archaeometry. Analytical and Bioanalytical Chemistry. 353(3-4). 369–371. 1 indexed citations

17.

Feldmeyer, Dirk, et al.. (1995). Calcium current reactivation after flash photolysis of nifedipine in skeletal muscle fibres of the frog.. The Journal of Physiology. 487(1). 51–56. 14 indexed citations

18.

Feldmeyer, Dirk, et al.. (1993). A possible role of sarcoplasmic Ca2+ release in modulating the slow Ca2+ current of skeletal muscle. Pflügers Archiv - European Journal of Physiology. 425(1-2). 54–61. 20 indexed citations

19.

Melzer, W., et al.. (1993). Role of extracellular metal cations in the potential dependence of force inactivation in skeletal muscle fibres. Journal of Muscle Research and Cell Motility. 14(6). 565–572. 11 indexed citations

20.

Herberg, Friedrich W., et al.. (1992). Excitation-contraction coupling in a pre-vertebrate twitch muscle: The myotomes of Branchiostoma lanceolatum. The Journal of Membrane Biology. 129(3). 237–52. 10 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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