Dora M. Kovacs

1.1k total citations
9 papers, 685 citations indexed

About

Dora M. Kovacs is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Dora M. Kovacs has authored 9 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in Dora M. Kovacs's work include Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Alzheimer's disease research and treatments (2 papers). Dora M. Kovacs is often cited by papers focused on Ion channel regulation and function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Alzheimer's disease research and treatments (2 papers). Dora M. Kovacs collaborates with scholars based in United States. Dora M. Kovacs's co-authors include Doo Yeon Kim, Laura Ingano, Bryce W. Carey, Warren H. Pettingell, Alexander M. Binshtok, Mary H. Wertz, Ping He, Clifford J. Woolf, Virginia M.‐Y. Lee and Haibin Wang and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Nature Cell Biology.

In The Last Decade

Dora M. Kovacs

9 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dora M. Kovacs United States	8	362	357	288	146	102	9	685
Chan Nguyen United States	10	194 0.5×	325 0.9×	267 0.9×	92 0.6×	90 0.9×	18	757
Gaël Barthet France	16	209 0.6×	467 1.3×	381 1.3×	79 0.5×	135 1.3×	25	748
Takenari Yamashita Japan	21	437 1.2×	1.0k 2.9×	331 1.1×	147 1.0×	76 0.7×	32	1.6k
Jason J. Fritz United States	12	575 1.6×	441 1.2×	241 0.8×	122 0.8×	122 1.2×	14	883
Alexandra Tolia Belgium	11	783 2.2×	641 1.8×	240 0.8×	294 2.0×	202 2.0×	12	1.1k
Satoshi Naruse Japan	11	600 1.7×	500 1.4×	233 0.8×	156 1.1×	164 1.6×	28	952
Jinhee Yang South Korea	13	267 0.7×	459 1.3×	300 1.0×	90 0.6×	135 1.3×	14	824
Mary Dabney Davis United States	8	358 1.0×	416 1.2×	163 0.6×	86 0.6×	55 0.5×	14	762
Hideko Kokubo Japan	7	298 0.8×	212 0.6×	122 0.4×	70 0.5×	93 0.9×	8	442
Christine Remmers United States	9	424 1.2×	404 1.1×	286 1.0×	152 1.0×	86 0.8×	11	794

Countries citing papers authored by Dora M. Kovacs

Since Specialization

Citations

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

Fields of papers citing papers by Dora M. Kovacs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dora M. Kovacs. 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 Dora M. Kovacs. The network helps show where Dora M. Kovacs may publish in the future.

Co-authorship network of co-authors of Dora M. Kovacs

This figure shows the co-authorship network connecting the top 25 collaborators of Dora M. Kovacs. A scholar is included among the top collaborators of Dora M. Kovacs 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 Dora M. Kovacs. Dora M. Kovacs 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.

Bhattacharyya, Raja, et al.. (2021). Axonal generation of amyloid-β from palmitoylated APP in mitochondria-associated endoplasmic reticulum membranes. Cell Reports. 35(7). 109134–109134. 51 indexed citations

2.

Kim, Doo Yeon & Dora M. Kovacs. (2011). Surface Trafficking of Sodium Channels in Cells and in Hippocampal Slices. Methods in molecular biology. 793. 351–361. 7 indexed citations

3.

Hutter‐Paier, Birgit, Henri J. Huttunen, Luigi Puglielli, et al.. (2010). The ACAT Inhibitor CP-113,818 Markedly Reduces Amyloid Pathology in a Mouse Model of Alzheimer's Disease. Neuron. 68(5). 1014–1014. 7 indexed citations

4.

Kim, Doo Yeon, et al.. (2010). Reduced Sodium Channel Nav1.1 Levels in BACE1-null Mice. Journal of Biological Chemistry. 286(10). 8106–8116. 72 indexed citations

5.

Kovacs, Dora M., et al.. (2010). Alzheimer's secretases regulate voltage-gated sodium channels. Neuroscience Letters. 486(2). 68–72. 22 indexed citations

6.

Kim, Doo Yeon, Bryce W. Carey, Haibin Wang, et al.. (2007). BACE1 regulates voltage-gated sodium channels and neuronal activity. Nature Cell Biology. 9(7). 755–764. 251 indexed citations

7.

Kovács, Imre, et al.. (2006). Presenilin 1 Forms Aggresomal Deposits in Response to Heat Shock. Journal of Molecular Neuroscience. 29(1). 9–20. 11 indexed citations

8.

Kim, Doo Yeon, Laura Ingano, Bryce W. Carey, Warren H. Pettingell, & Dora M. Kovacs. (2005). Presenilin/γ-Secretase-mediated Cleavage of the Voltage-gated Sodium Channel β2-Subunit Regulates Cell Adhesion and Migration. Journal of Biological Chemistry. 280(24). 23251–23261. 121 indexed citations

9.

Kim, Doo Yeon, Laura Ingano, & Dora M. Kovacs. (2002). Nectin-1α, an Immunoglobulin-like Receptor Involved in the Formation of Synapses, Is a Substrate for Presenilin/γ-Secretase-like Cleavage. Journal of Biological Chemistry. 277(51). 49976–49981. 143 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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