Rahmad Akbar

1.1k total citations
27 papers, 466 citations indexed

About

Rahmad Akbar is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Rahmad Akbar has authored 27 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Immunology. Recurrent topics in Rahmad Akbar's work include vaccines and immunoinformatics approaches (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and SMEs Development and Digital Marketing (5 papers). Rahmad Akbar is often cited by papers focused on vaccines and immunoinformatics approaches (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and SMEs Development and Digital Marketing (5 papers). Rahmad Akbar collaborates with scholars based in Norway, Switzerland and Germany. Rahmad Akbar's co-authors include Victor Greiff, Philippe A. Robert, Geir Kjetil Sandve, Cédric R. Weber, Igor Snapkov, Milena Pavlović, Fridtjof Lund‐Johansen, Volkhard Helms, Andrei Slabodkin and Lonneke Scheffer and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and Genome Research.

In The Last Decade

Rahmad Akbar

21 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahmad Akbar Norway 12 338 222 139 51 27 27 466
Fergus Boyles United Kingdom 6 328 1.0× 228 1.0× 74 0.5× 107 2.1× 16 0.6× 7 426
Shinji Soga Japan 7 324 1.0× 169 0.8× 55 0.4× 91 1.8× 25 0.9× 15 416
Nicholas Marze United States 6 447 1.3× 267 1.2× 100 0.7× 31 0.6× 31 1.1× 7 595
Jeffrey A. Ruffolo United States 11 579 1.7× 349 1.6× 79 0.6× 54 1.1× 34 1.3× 14 712
Chinh Tran-To Su Singapore 12 252 0.7× 114 0.5× 81 0.6× 103 2.0× 36 1.3× 24 421
Surender Mohan India 12 232 0.7× 104 0.5× 54 0.4× 42 0.8× 57 2.1× 23 450
Nick Jarvik Canada 10 285 0.8× 51 0.2× 56 0.4× 56 1.1× 34 1.3× 12 389
Hui Wei China 14 409 1.2× 200 0.9× 77 0.6× 13 0.3× 26 1.0× 32 606
Francesco Ambrosetti Netherlands 7 328 1.0× 191 0.9× 60 0.4× 47 0.9× 26 1.0× 9 409
Eliane Mandine France 12 755 2.2× 87 0.4× 55 0.4× 41 0.8× 54 2.0× 18 875

Countries citing papers authored by Rahmad Akbar

Since Specialization
Citations

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

Fields of papers citing papers by Rahmad Akbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahmad Akbar

This figure shows the co-authorship network connecting the top 25 collaborators of Rahmad Akbar. A scholar is included among the top collaborators of Rahmad Akbar 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 Rahmad Akbar. Rahmad Akbar 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.
Scheffer, Lonneke, Brij Bhushan Mehta, Milena Pavlović, et al.. (2024). Predictability of antigen binding based on short motifs in the antibody CDRH3. Briefings in Bioinformatics. 25(6).
2.
Smorodina, Eva, Rahmad Akbar, Maria Chernigovskaya, et al.. (2024). Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability. Communications Biology. 7(1). 922–922. 10 indexed citations
3.
Robert, Philippe A., et al.. (2024). Linguistics-based formalization of the antibody language as a basis for antibody language models. Nature Computational Science. 4(6). 412–422. 2 indexed citations
4.
Akbar, Rahmad, et al.. (2023). Linguistically inspired roadmap for building biologically reliable protein language models. Nature Machine Intelligence. 5(5). 485–496. 28 indexed citations
5.
Federico, Lorenzo, Simen Tennøe, Viktoriia Chaban, et al.. (2023). Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligence. Frontiers in Immunology. 14. 1265044–1265044. 8 indexed citations
6.
Khan, Asif, Alexander I. Cowen-Rivers, Philippe A. Robert, et al.. (2023). Toward real-world automated antibody design with combinatorial Bayesian optimization. Cell Reports Methods. 3(1). 100374–100374. 26 indexed citations
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Akbar, Rahmad, Puneet Rawat, Philippe A. Robert, et al.. (2022). Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs. 14(1). 2008790–2008790. 73 indexed citations
11.
Akbar, Rahmad, Philippe A. Robert, Cédric R. Weber, et al.. (2022). In silico proof of principle of machine learning-based antibody design at unconstrained scale. mAbs. 14(1). 2031482–2031482. 50 indexed citations
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Akbar, Rahmad, et al.. (2022). Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database. Computational Biology and Chemistry. 102. 107800–107800. 15 indexed citations
15.
Weber, Cédric R., Teresa Rubio, Longlong Wang, et al.. (2022). Reference-based comparison of adaptive immune receptor repertoires. Cell Reports Methods. 2(8). 100269–100269. 14 indexed citations
16.
Akbar, Rahmad, Philippe A. Robert, Milena Pavlović, et al.. (2021). A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding. Cell Reports. 34(11). 108856–108856. 106 indexed citations
17.
Slabodkin, Andrei, Maria Chernigovskaya, Rahmad Akbar, et al.. (2021). Individualized VDJ recombination predisposes the available Ig sequence space. Genome Research. 31(12). 2209–2224. 25 indexed citations
18.
Weber, Cédric R., Rahmad Akbar, Alexander Yermanos, et al.. (2020). immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking. Bioinformatics. 36(11). 3594–3596. 39 indexed citations
19.
Zhou, Yan, Renping Zhao, Eva C. Schwarz, et al.. (2020). Interorganelle Tethering to Endocytic Organelles Determines Directional Cytokine Transport in CD4+ T Cells. The Journal of Immunology. 205(11). 2988–3000.
20.
Akbar, Rahmad, et al.. (2018). Immunogenicity assay of KatG protein from Mycobacterium tuberculosis in mice: preliminary screening of TB vaccine. The Ukrainian Biochemical Journal. 90(6). 62–69. 2 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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