E. M. Rapoport

641 total citations
32 papers, 516 citations indexed

About

E. M. Rapoport is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, E. M. Rapoport has authored 32 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 23 papers in Immunology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in E. M. Rapoport's work include Glycosylation and Glycoproteins Research (24 papers), Galectins and Cancer Biology (19 papers) and Toxin Mechanisms and Immunotoxins (7 papers). E. M. Rapoport is often cited by papers focused on Glycosylation and Glycoproteins Research (24 papers), Galectins and Cancer Biology (19 papers) and Toxin Mechanisms and Immunotoxins (7 papers). E. M. Rapoport collaborates with scholars based in Russia, Germany and New Zealand. E. M. Rapoport's co-authors include Nicolai V. Bovin, Galina V. Pazynina, Hans‐Joachim Gabius, Sabine André, V. V. Severov, Paul R. Crocker, Elena Korchagina, Ilya Mikhalyov, Jiquan Zhang and Herbert Kaltner and has published in prestigious journals such as International Journal of Molecular Sciences, Biochimica et Biophysica Acta (BBA) - Biomembranes and Breast Cancer Research and Treatment.

In The Last Decade

E. M. Rapoport

30 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. M. Rapoport Russia 14 385 351 94 37 33 32 516
Rikio Yabe Japan 14 267 0.7× 254 0.7× 63 0.7× 56 1.5× 47 1.4× 15 448
Britni M. Arlian United States 15 349 0.9× 336 1.0× 121 1.3× 55 1.5× 58 1.8× 17 606
Pia Hønnerup Jensen Australia 7 401 1.0× 175 0.5× 95 1.0× 23 0.6× 27 0.8× 8 548
Paul A. Aeed United States 11 302 0.8× 140 0.4× 58 0.6× 44 1.2× 80 2.4× 17 532
Shani Leviatan Ben‐Arye Israel 13 373 1.0× 142 0.4× 90 1.0× 30 0.8× 33 1.0× 24 534
Shuguang Bi United States 7 312 0.8× 400 1.1× 23 0.2× 41 1.1× 55 1.7× 13 538
Cécile Gautier France 7 200 0.5× 149 0.4× 31 0.3× 75 2.0× 45 1.4× 11 394
Sara Chalabi United Kingdom 7 303 0.8× 123 0.4× 83 0.9× 20 0.5× 16 0.5× 8 421
Mary K. O’Reilly United States 9 402 1.0× 202 0.6× 161 1.7× 15 0.4× 50 1.5× 10 546
Ewa Jaśkiewicz Poland 15 335 0.9× 151 0.4× 69 0.7× 39 1.1× 24 0.7× 35 528

Countries citing papers authored by E. M. Rapoport

Since Specialization
Citations

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

Fields of papers citing papers by E. M. Rapoport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. M. Rapoport

This figure shows the co-authorship network connecting the top 25 collaborators of E. M. Rapoport. A scholar is included among the top collaborators of E. M. Rapoport 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 E. M. Rapoport. E. M. Rapoport 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.
2.
Shilova, Nadezhda, Ekaterina A. Obraztsova, С. В. Хайдуков, et al.. (2024). Surface Glycans of Microvesicles Derived from Endothelial Cells, as Probed Using Plant Lectins. International Journal of Molecular Sciences. 25(11). 5725–5725. 1 indexed citations
3.
Rapoport, E. M., Elena Korchagina, С. В. Хайдуков, et al.. (2023). Galectin-9 Modulates Adhesion of Lymphocytes to Endothelium Via Binding to Blood Group H Glycan. SSRN Electronic Journal. 1 indexed citations
4.
Tuzikov, Alexander, et al.. (2021). Synthesis of bodipy-labeled bacterial polysaccharides and their interaction with human dendritic cells. Glycoconjugate Journal. 38(3). 369–374. 3 indexed citations
5.
Rapoport, E. M., Е. В. Моисеева, С. В. Хайдуков, et al.. (2019). Glycan-binding profile of DC-like cells. Glycoconjugate Journal. 37(1). 129–138. 3 indexed citations
6.
Rapoport, E. M., et al.. (2018). Localization of Galectins within Glycocalyx. Biochemistry (Moscow). 83(6). 727–737. 5 indexed citations
7.
Rapoport, E. M., С. В. Хайдуков, Galina V. Pazynina, et al.. (2018). Glycan recognition by human blood mononuclear cells with an emphasis on dendritic cells. Glycoconjugate Journal. 35(2). 191–203. 5 indexed citations
8.
Rapoport, E. M., Herbert Kaltner, Sabine André, et al.. (2015). Comparative lectinology: Delineating glycan-specificity profiles of the chicken galectins using neoglycoconjugates in a cell assay. Glycobiology. 25(7). 726–734. 14 indexed citations
9.
Rapoport, E. M. & Nicolai V. Bovin. (2015). Specificity of human galectins on cell surfaces. Biochemistry (Moscow). 80(7). 846–856. 11 indexed citations
10.
Knirel, Yu. A., Hans‐Joachim Gabius, Ola Blixt, et al.. (2013). Human tandem-repeat-type galectins bind bacterial non-βGal polysaccharides. Glycoconjugate Journal. 31(1). 7–12. 28 indexed citations
11.
Rapoport, E. M., Elena Korchagina, Galina V. Pazynina, et al.. (2011). Carbohydrate specificity of chicken and human tandem-repeat-type galectins-8 in composition of cells. Biochemistry (Moscow). 76(10). 1185–1192. 16 indexed citations
12.
Rapoport, E. M., et al.. (2011). Galectins promote the interaction of influenza virus with its target cell. Biochemistry (Moscow). 76(8). 958–967. 14 indexed citations
13.
Rapoport, E. M., Galina V. Pazynina, V. V. Severov, et al.. (2010). Solid-phase assays for study of carbohydrate specificity of galectins. Biochemistry (Moscow). 75(3). 310–319. 10 indexed citations
14.
Rapoport, E. M., et al.. (2006). Probing sialic acid binding Ig-like lectins (siglecs) with sulfated oligosaccharides. Biochemistry (Moscow). 71(5). 496–504. 24 indexed citations
15.
Rapoport, E. M., Larisa V. Mochalova, Hans‐Joachim Gabius, Julia Romanova, & Nicolai V. Bovin. (2006). Search for additional influenza virus to cell interactions. Glycoconjugate Journal. 23(1-2). 115–125. 20 indexed citations
16.
Хайдуков, С. В., et al.. (2005). Induction of Differentiation in Leukemic Cell Strains with Myelopeptide-4. Bulletin of Experimental Biology and Medicine. 140(5). 554–557. 4 indexed citations
17.
Моисеева, Е. В., E. M. Rapoport, Nicolai V. Bovin, et al.. (2005). Galectins as markers of aggressiveness of mouse mammary carcinoma: towards a lectin target therapy of human breast cancer. Breast Cancer Research and Treatment. 91(3). 227–241. 20 indexed citations
18.
Rapoport, E. M., Е. В. Моисеева, Uwe Karsten, et al.. (2003). Involvement of the Galβ1 – 3GalNAcβ structure in the recognition of apoptotic bodies by THP-1 cells. European Journal of Cell Biology. 82(6). 295–302. 12 indexed citations
19.
Rapoport, E. M., et al.. (1999). Glycosylation alterations of cells in late phase apoptosis from colon carcinomas. Glycobiology. 9(12). 1337–1345. 51 indexed citations
20.
Levisohn, Sharon, Irit Davidson, M.R. Caro, & E. M. Rapoport. (1991). Use of an ELISA for differential diagnosis of Mycoplasma agalactiae and M mycoides subspecies mycoides (LC) in naturally infected goat herds. Research in Veterinary Science. 51(1). 66–71. 17 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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