Lmar Babrak

636 total citations
21 papers, 416 citations indexed

About

Lmar Babrak is a scholar working on Molecular Biology, Epidemiology and Ecology. According to data from OpenAlex, Lmar Babrak has authored 21 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Epidemiology and 5 papers in Ecology. Recurrent topics in Lmar Babrak's work include Mycobacterium research and diagnosis (6 papers), Bacteriophages and microbial interactions (5 papers) and Tuberculosis Research and Epidemiology (4 papers). Lmar Babrak is often cited by papers focused on Mycobacterium research and diagnosis (6 papers), Bacteriophages and microbial interactions (5 papers) and Tuberculosis Research and Epidemiology (4 papers). Lmar Babrak collaborates with scholars based in United States, Switzerland and United Kingdom. Lmar Babrak's co-authors include Luiz E. Bermudez, Sasha J. Rose, Enkelejda Miho, Lia Danelishvili, Jeffery A. McGarvey, Robert Hnasko, Larry H. Stanker, Peter Groenen, Christian Vogler and Michael Rebhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Lmar Babrak

21 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lmar Babrak United States 13 164 125 121 61 44 21 416
Raymond Widen United States 15 134 0.8× 97 0.8× 129 1.1× 101 1.7× 14 0.3× 31 610
I. Nuzzo Italy 11 81 0.5× 95 0.8× 77 0.6× 102 1.7× 30 0.7× 27 346
S Springer Germany 11 62 0.4× 37 0.3× 97 0.8× 28 0.5× 14 0.3× 53 407
Wenfang Li China 12 56 0.3× 43 0.3× 41 0.3× 43 0.7× 16 0.4× 31 271
Hailong Liu China 16 72 0.4× 139 1.1× 73 0.6× 23 0.4× 13 0.3× 43 541
Amanda Lowe United States 11 49 0.3× 73 0.6× 48 0.4× 45 0.7× 18 0.4× 15 415
Ronaldo B. Martins Brazil 13 68 0.4× 73 0.6× 173 1.4× 67 1.1× 8 0.2× 30 412
Laurence Fleurisse France 13 189 1.2× 114 0.9× 206 1.7× 16 0.3× 18 0.4× 16 583
Francesca Gatti Italy 18 104 0.6× 224 1.8× 204 1.7× 60 1.0× 7 0.2× 41 733

Countries citing papers authored by Lmar Babrak

Since Specialization
Citations

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

Fields of papers citing papers by Lmar Babrak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lmar Babrak

This figure shows the co-authorship network connecting the top 25 collaborators of Lmar Babrak. A scholar is included among the top collaborators of Lmar Babrak 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 Lmar Babrak. Lmar Babrak 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.
Horst, A. J. van der, Patrick Meier, Victor Greiff, et al.. (2024). The dengue-specific immune response and antibody identification with machine learning. npj Vaccines. 9(1). 16–16. 7 indexed citations
2.
Babrak, Lmar, et al.. (2022). RWD-Cockpit: Application for Quality Assessment of Real-world Data. JMIR Formative Research. 6(10). e29920–e29920. 1 indexed citations
3.
Marquez, Susanna, Lmar Babrak, Victor Greiff, et al.. (2022). Adaptive Immune Receptor Repertoire (AIRR) Community Guide to Repertoire Analysis. Methods in molecular biology. 2453. 297–316. 5 indexed citations
4.
Babrak, Lmar, Susanna Marquez, Christian E. Busse, et al.. (2022). Adaptive Immune Receptor Repertoire (AIRR) Community Guide to TR and IG Gene Annotation. Methods in molecular biology. 2453. 279–296. 1 indexed citations
5.
Schneider, Bettina, et al.. (2021). The Real-World Data Challenges Radar: A Review on the Challenges and Risks regarding the Use of Real-World Data. SHILAP Revista de lepidopterología. 5(2). 148–157. 18 indexed citations
6.
Babrak, Lmar, et al.. (2021). Prospective Artificial Intelligence to Dissect the Dengue Immune Response and Discover Therapeutics. Frontiers in Immunology. 12. 574411–574411. 12 indexed citations
7.
Horst, A. J. van der, et al.. (2021). Machine Learning Detects Anti-DENV Signatures in Antibody Repertoire Sequences. Frontiers in Artificial Intelligence. 4. 715462–715462. 10 indexed citations
8.
Babrak, Lmar, Mats Ohlin, Mikhail Shugay, et al.. (2019). Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences. Bioinformatics. 36(6). 1731–1739. 41 indexed citations
9.
Babrak, Lmar, Joseph P. Menetski, Michael Rebhan, et al.. (2019). Traditional and Digital Biomarkers: Two Worlds Apart?. PubMed. 3(2). 92–102. 97 indexed citations
10.
Babrak, Lmar & Luiz E. Bermudez. (2018). Response of the respiratory mucosal cells to mycobacterium avium subsp. Hominissuis microaggregate. Archives of Microbiology. 200(5). 729–742. 3 indexed citations
11.
Babrak, Lmar, Jeffery A. McGarvey, Larry H. Stanker, & Robert Hnasko. (2017). Identification and verification of hybridoma-derived monoclonal antibody variable region sequences using recombinant DNA technology and mass spectrometry. Molecular Immunology. 90. 287–294. 13 indexed citations
12.
Danelishvili, Lia, Natalia Shulzhenko, Lmar Babrak, et al.. (2017). Mycobacterium tuberculosis Proteome Response to Antituberculosis Compounds Reveals Metabolic “Escape” Pathways That Prolong Bacterial Survival. Antimicrobial Agents and Chemotherapy. 61(7). 21 indexed citations
13.
Danelishvili, Lia, et al.. (2016). Identification of Mycobacterium avium subsp. hominissuis secreted proteins using an in vitro system mimicking the phagosomal environment. BMC Microbiology. 16(1). 270–270. 12 indexed citations
14.
Babrak, Lmar, Alice V. Lin, Larry H. Stanker, Jeffery A. McGarvey, & Robert Hnasko. (2016). Rapid Microfluidic Assay for the Detection of Botulinum Neurotoxin in Animal Sera. Toxins. 8(1). 13–13. 17 indexed citations
15.
Rose, Sasha J., Lmar Babrak, & Luiz E. Bermudez. (2015). Mycobacterium avium Possesses Extracellular DNA that Contributes to Biofilm Formation, Structural Integrity, and Tolerance to Antibiotics. PLoS ONE. 10(5). e0128772–e0128772. 67 indexed citations
16.
17.
Babrak, Lmar, Lia Danelishvili, Sasha J. Rose, & Luiz E. Bermudez. (2015). Microaggregate-associated protein involved in invasion of epithelial cells byMycobacterium aviumsubsp.hominissuis. Virulence. 6(7). 694–703. 12 indexed citations
18.
Bannantine, John P., Jamie L. Everman, Sasha J. Rose, et al.. (2014). Evaluation of eight live attenuated vaccine candidates for protection against challenge with virulent Mycobacterium avium subspecies paratuberculosis in mice. Frontiers in Cellular and Infection Microbiology. 4. 88–88. 26 indexed citations
19.
20.
Danelishvili, Lia, Lmar Babrak, Sasha J. Rose, Jamie L. Everman, & Luiz E. Bermudez. (2014). Mycobacterium tuberculosis Alters the Metalloprotease Activity of the COP9 Signalosome. mBio. 5(4). 14 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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