Jonas Reeb

1.2k total citations
7 papers, 150 citations indexed

About

Jonas Reeb is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jonas Reeb has authored 7 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Jonas Reeb's work include Genomics and Rare Diseases (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (3 papers). Jonas Reeb is often cited by papers focused on Genomics and Rare Diseases (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Phylogenetic Studies (3 papers). Jonas Reeb collaborates with scholars based in Germany, United States and United Kingdom. Jonas Reeb's co-authors include Burkhard Rost, Michael Bernhofer, Edda Kloppmann, Yana Bromberg, Yannick Mahlich, Maximilian Hecht, Sujana Ghosh, Ammar J. Alsheikh, Howard J. Jacob and Lindsay R. Stolzenburg and has published in prestigious journals such as Scientific Reports, BMC Bioinformatics and Proteins Structure Function and Bioinformatics.

In The Last Decade

Jonas Reeb

6 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonas Reeb Germany	6	116	52	10	9	8	7	150
Bradley W. Wright Australia	6	185 1.6×	37 0.7×	9 0.9×	15 1.7×	8 1.0×	7	223
Marina A. Pak Russia	3	139 1.2×	29 0.6×	6 0.6×	5 0.6×	11 1.4×	6	179
Bryan-Joseph San Luis Canada	6	151 1.3×	40 0.8×	5 0.5×	13 1.4×	5 0.6×	7	169
Kumitaa Theva Das Malaysia	5	114 1.0×	43 0.8×	11 1.1×	6 0.7×	13 1.6×	13	146
Roujia Li Canada	5	108 0.9×	86 1.7×	10 1.0×	21 2.3×	27 3.4×	8	163
A. M. Mahedi Hasan United Kingdom	6	98 0.8×	50 1.0×	10 1.0×	10 1.1×	19 2.4×	8	151
Francisco J. Guzmán‐Vega Saudi Arabia	8	88 0.8×	39 0.8×	26 2.6×	7 0.8×	14 1.8×	15	144
Charlotte H. Wang United States	2	115 1.0×	65 1.3×	3 0.3×	11 1.2×	4 0.5×	3	186
Erika C. Urdaneta Germany	5	260 2.2×	20 0.4×	5 0.5×	21 2.3×	4 0.5×	5	270
Daniel Benhalevy United States	6	319 2.8×	24 0.5×	14 1.4×	29 3.2×	8 1.0×	11	346

Countries citing papers authored by Jonas Reeb

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Reeb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Reeb

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

All Works

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7 of 7 papers shown

1.

Riley‐Gillis, Bridget, Shirng‐Wern Tsaih, Emily A. King, et al.. (2023). Machine learning reveals genetic modifiers of the immune microenvironment of cancer. iScience. 26(9). 107576–107576.

2.

Alsheikh, Ammar J., Emily A. King, Jonas Reeb, et al.. (2022). The landscape of GWAS validation; systematic review identifying 309 validated non-coding variants across 130 human diseases. BMC Medical Genomics. 15(1). 74–74. 39 indexed citations

3.

Reeb, Jonas, et al.. (2020). Variant effect predictions capture some aspects of deep mutational scanning experiments. BMC Bioinformatics. 21(1). 107–107. 25 indexed citations

4.

Mahlich, Yannick, Jonas Reeb, Maximilian Hecht, et al.. (2017). Common sequence variants affect molecular function more than rare variants?. Scientific Reports. 7(1). 1608–1608. 16 indexed citations

5.

Reeb, Jonas, Maximilian Hecht, Yannick Mahlich, Yana Bromberg, & Burkhard Rost. (2016). Predicted Molecular Effects of Sequence Variants Link to System Level of Disease. PLoS Computational Biology. 12(8). e1005047–e1005047. 12 indexed citations

6.

Bernhofer, Michael, Edda Kloppmann, Jonas Reeb, & Burkhard Rost. (2016). TMSEG: Novel prediction of transmembrane helices. Proteins Structure Function and Bioinformatics. 84(11). 1706–1716. 36 indexed citations

7.

Reeb, Jonas, Edda Kloppmann, Michael Bernhofer, & Burkhard Rost. (2014). Evaluation of transmembrane helix predictions in 2014. Proteins Structure Function and Bioinformatics. 83(3). 473–484. 22 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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