Anna Roitburd‐Berman

496 total citations
8 papers, 334 citations indexed

About

Anna Roitburd‐Berman is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Virology. According to data from OpenAlex, Anna Roitburd‐Berman has authored 8 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 4 papers in Virology. Recurrent topics in Anna Roitburd‐Berman's work include Monoclonal and Polyclonal Antibodies Research (7 papers), vaccines and immunoinformatics approaches (4 papers) and HIV Research and Treatment (4 papers). Anna Roitburd‐Berman is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), vaccines and immunoinformatics approaches (4 papers) and HIV Research and Treatment (4 papers). Anna Roitburd‐Berman collaborates with scholars based in Israel, United States and China. Anna Roitburd‐Berman's co-authors include Jonathan M. Gershoni, Natalia T. Freund, Yael Weiss, Tal Pupko, Itay Mayrose, Erez M. Bublil, Osnat Penn, Nimrod D. Rubinstein, George K. Lewis and Jianhua Sui and has published in prestigious journals such as Journal of Molecular Biology, Journal of Virology and Proteins Structure Function and Bioinformatics.

In The Last Decade

Anna Roitburd‐Berman

8 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Roitburd‐Berman Israel 6 210 170 83 70 39 8 334
Phil Bourne United States 2 307 1.5× 125 0.7× 193 2.3× 46 0.7× 34 0.9× 2 395
Mehdi Houimel Tunisia 9 131 0.6× 123 0.7× 110 1.3× 54 0.8× 125 3.2× 16 360
Natalie K. Connors Australia 10 205 1.0× 70 0.4× 61 0.7× 152 2.2× 23 0.6× 20 465
Hakima Sbai United States 7 238 1.1× 101 0.6× 134 1.6× 83 1.2× 33 0.8× 10 322
Luciana D’Apice Italy 14 235 1.1× 145 0.9× 233 2.8× 137 2.0× 50 1.3× 29 582
Melissa Hamm United States 11 185 0.9× 77 0.5× 63 0.8× 95 1.4× 6 0.2× 15 430
Nienke E. van Houten Canada 7 183 0.9× 174 1.0× 140 1.7× 79 1.1× 228 5.8× 8 394
Samantha A. Yost United States 7 113 0.5× 140 0.8× 35 0.4× 141 2.0× 94 2.4× 11 525
Julián Gómez‐Gutiérrez Spain 13 130 0.6× 47 0.3× 77 0.9× 50 0.7× 37 0.9× 30 379
Carolyn Saylor United States 6 109 0.5× 95 0.6× 156 1.9× 137 2.0× 16 0.4× 6 411

Countries citing papers authored by Anna Roitburd‐Berman

Since Specialization
Citations

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

Fields of papers citing papers by Anna Roitburd‐Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Roitburd‐Berman. 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 Anna Roitburd‐Berman. The network helps show where Anna Roitburd‐Berman may publish in the future.

Co-authorship network of co-authors of Anna Roitburd‐Berman

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

All Works

8 of 8 papers shown
1.
Roitburd‐Berman, Anna, Barney S. Graham, Dimiter S. Dimitrov, et al.. (2022). Functional reconstitution of the MERS CoV receptor binding motif. Molecular Immunology. 145. 3–16. 2 indexed citations
2.
Ashkenazy, Haim, et al.. (2021). Motifier: An IgOme Profiler Based on Peptide Motifs Using Machine Learning. Journal of Molecular Biology. 433(15). 167071–167071. 5 indexed citations
3.
Tanaka, Kazuki, Takeo Kuwata, Muntasir Alam, et al.. (2017). Unique binding modes for the broad neutralizing activity of single-chain variable fragments (scFv) targeting CD4-induced epitopes. Retrovirology. 14(1). 44–44. 10 indexed citations
4.
Roitburd‐Berman, Anna, et al.. (2016). Range of CD4-Bound Conformations of HIV-1 gp120, as Defined Using Conditional CD4-Induced Antibodies. Journal of Virology. 90(9). 4481–4493. 12 indexed citations
5.
Freund, Natalia T., Anna Roitburd‐Berman, Jianhua Sui, Wayne A. Marasco, & Jonathan M. Gershoni. (2015). Reconstitution of the receptor-binding motif of the SARS coronavirus. Protein Engineering Design and Selection. 28(12). gzv052–gzv052. 16 indexed citations
6.
Roitburd‐Berman, Anna, et al.. (2013). Allosteric induction of the CD4-bound conformation of HIV-1 Gp120. Retrovirology. 10(1). 147–147. 3 indexed citations
7.
Bublil, Erez M., Natalia T. Freund, Itay Mayrose, et al.. (2007). Stepwise prediction of conformational discontinuous B‐cell epitopes using the Mapitope algorithm. Proteins Structure Function and Bioinformatics. 68(1). 294–304. 71 indexed citations
8.
Gershoni, Jonathan M., et al.. (2007). Epitope Mapping. BioDrugs. 21(3). 145–156. 215 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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