Sergei Rudchenko

1.4k total citations
28 papers, 1.1k citations indexed

About

Sergei Rudchenko is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Sergei Rudchenko has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Sergei Rudchenko's work include Advanced biosensing and bioanalysis techniques (6 papers), Blood properties and coagulation (5 papers) and Epigenetics and DNA Methylation (3 papers). Sergei Rudchenko is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Blood properties and coagulation (5 papers) and Epigenetics and DNA Methylation (3 papers). Sergei Rudchenko collaborates with scholars based in United States, Russia and Israel. Sergei Rudchenko's co-authors include Milan N. Stojanović, Darko Stefanović, Kathryn Calame, George Kwok Chu Wong, Xiaoming Zou, Steven K. Taylor, Renjun Pei, Stella Dracheva, Yasmin L. Hurd and Alexey Kozlenkov and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Sergei Rudchenko

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergei Rudchenko United States 12 754 181 157 152 98 28 1.1k
Mariko Yamaki Japan 15 850 1.1× 85 0.5× 148 0.9× 64 0.4× 62 0.6× 22 1.2k
Jennifer K. Ng United States 12 982 1.3× 120 0.7× 315 2.0× 131 0.9× 94 1.0× 14 1.5k
Elaine C. Campbell United Kingdom 18 726 1.0× 271 1.5× 191 1.2× 62 0.4× 93 0.9× 26 1.3k
Raymond M. Anchan United States 23 540 0.7× 83 0.5× 264 1.7× 103 0.7× 37 0.4× 58 1.8k
Hiromichi Tsurui Japan 23 755 1.0× 446 2.5× 187 1.2× 88 0.6× 29 0.3× 60 1.6k
Catherine Branda United States 13 841 1.1× 209 1.2× 112 0.7× 237 1.6× 29 0.3× 17 1.5k
Laurence Duchesne France 18 786 1.0× 52 0.3× 133 0.8× 61 0.4× 40 0.4× 28 1.1k
Masaru Miyano United States 13 902 1.2× 137 0.8× 62 0.4× 422 2.8× 45 0.5× 24 1.2k
Kai Kruse Germany 19 1.1k 1.5× 48 0.3× 72 0.5× 128 0.8× 58 0.6× 39 1.5k
Mark S. Mooseker United States 12 1.3k 1.7× 56 0.3× 73 0.5× 84 0.6× 61 0.6× 12 2.0k

Countries citing papers authored by Sergei Rudchenko

Since Specialization
Citations

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

Fields of papers citing papers by Sergei Rudchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergei Rudchenko

This figure shows the co-authorship network connecting the top 25 collaborators of Sergei Rudchenko. A scholar is included among the top collaborators of Sergei Rudchenko 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 Sergei Rudchenko. Sergei Rudchenko 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.
Rubin, J. Peter, Steven K. Taylor, Sergei Rudchenko, Milan N. Stojanović, & Henry Hess. (2025). Single Molecule Kinetic Fingerprinting of Glycans on IgA1 Antibodies. Analytical Chemistry. 97(27). 14388–14396.
2.
Wen, Kechun, Qiao Lin, Wei Jia, et al.. (2023). Rapid isolation of anti-idiotype aptamers for quantification of human monoclonal antibodies against SARS-CoV-2 spike protein. Biosensors and Bioelectronics. 246. 115842–115842. 7 indexed citations
3.
Rudchenko, Sergei, et al.. (2023). Amplification of Signal on Cell Surfaces in Molecular Cascades. Cells. 12(24). 2858–2858. 2 indexed citations
4.
Katsel, Pavel, Weilun Tan, Sonia Khan, et al.. (2017). Overexpression of Truncated Human DISC1 Induces Appearance of Hindbrain Oligodendroglia in the Forebrain During Development. Schizophrenia Bulletin. 44(3). 515–524. 4 indexed citations
5.
6.
Kozlenkov, Alexey, Minghui Wang, Panos Roussos, et al.. (2015). Substantial DNA methylation differences between two major neuronal subtypes in human brain. Nucleic Acids Research. 44(6). 2593–2612. 72 indexed citations
7.
Butler, Vincent P., et al.. (2013). Autonomous molecular cascades for evaluation of cell surfaces. Nature Nanotechnology. 8(8). 580–586. 137 indexed citations
8.
Kozlenkov, Alexey, Panos Roussos, Mihaela Barbu, et al.. (2013). Differences in DNA methylation between human neuronal and glial cells are concentrated in enhancers and non-CpG sites. Nucleic Acids Research. 42(1). 109–127. 112 indexed citations
9.
Isnardi, Isabelle, Yen-Shing Ng, Roja Motaghedi, et al.. (2008). IRAK-4- and MyD88-Dependent Pathways Are Essential for the Removal of Developing Autoreactive B Cells in Humans. Immunity. 29(5). 746–757. 173 indexed citations
10.
Rudchenko, Sergei, Matthew J. Scanlan, Victoria Yavelsky, et al.. (2008). A human monoclonal autoantibody to breast cancer identifies the PDZ domain containing protein GIPC1 as a novel breast cancer-associated antigen. BMC Cancer. 8(1). 248–248. 14 indexed citations
11.
Zou, Xiaoming, Yi Lin, Sergei Rudchenko, & Kathryn Calame. (1997). Positive and Negative Regulation of c-Myc Transcription. Current topics in microbiology and immunology. 224. 57–66. 9 indexed citations
12.
Rudchenko, Sergei, Ilya Trakht, & Joan H. Sobel. (1996). Comparative Structural and Functional Features of the Human Fibrinogen αC Domain and the Isolated αC Fragment. Journal of Biological Chemistry. 271(5). 2523–2530. 16 indexed citations
13.
Sobel, J. H., et al.. (1995). Alpha-Chain cross-linking in fibrin(ogen) Marburg. Blood. 86(3). 989–1000. 8 indexed citations
14.
Sobel, J. H., et al.. (1995). Alpha-Chain cross-linking in fibrin(ogen) Marburg. Blood. 86(3). 989–1000. 7 indexed citations
15.
Karawajew, Leonid, et al.. (1990). Flow sorting of hybrid hybridomas using the DNA stain Hoechst 33342. Journal of Immunological Methods. 129(2). 277–282. 11 indexed citations
16.
Rudchenko, Sergei, et al.. (1989). Noradrenaline induces the polyploidization of smooth muscle cells: The synergism of second messengers. Experimental Cell Research. 184(2). 342–350. 8 indexed citations
17.
18.
Kruman, Inna I., et al.. (1988). The intestinal epithelial cells of ground squirrel (Citellus undulatus) accumulate at G2 phase of the cell cycle throughout a bout of hibernation. Comparative Biochemistry and Physiology Part A Physiology. 90(2). 233–236. 30 indexed citations
19.
Orekhov, Alexander N., et al.. (1987). Local thrombosis prevention in the dog's carotid artery by magnetic targeting of aspirin-loading erythrocytes. Bulletin of Experimental Biology and Medicine. 104(2). 1055–1057. 1 indexed citations
20.
Rudchenko, Sergei, et al.. (1985). [Concentration of erythrocyte-based magnetic carriers in the vascular bed].. PubMed. 100(12). 701–2. 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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