Kjong-Van Lehmann

19.1k total citations
12 papers, 294 citations indexed

About

Kjong-Van Lehmann is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Kjong-Van Lehmann has authored 12 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Kjong-Van Lehmann's work include Cancer Genomics and Diagnostics (5 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). Kjong-Van Lehmann is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). Kjong-Van Lehmann collaborates with scholars based in United States, Germany and Switzerland. Kjong-Van Lehmann's co-authors include Gunnar Rätsch, André Kahles, Ting Chen, Sergey V. Nuzhdin, Oliver Stegle, Tannistha Nandi, Deniz Demircioğlu, Patrick Tan, Nuno A. Fonseca and Angela N. Brooks and has published in prestigious journals such as Cell, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Kjong-Van Lehmann

11 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kjong-Van Lehmann United States 6 214 71 63 19 18 12 294
Ian Morilla Spain 9 167 0.8× 114 1.6× 23 0.4× 22 1.2× 24 1.3× 26 323
Cong Liang China 10 210 1.0× 40 0.6× 84 1.3× 17 0.9× 72 4.0× 22 365
Eyal Mozes United States 4 404 1.9× 82 1.2× 158 2.5× 14 0.7× 15 0.8× 6 506
Tomoaki Nagai Japan 11 241 1.1× 124 1.7× 23 0.4× 6 0.3× 9 0.5× 17 368
Jingxue Xin China 9 189 0.9× 51 0.7× 46 0.7× 6 0.3× 17 0.9× 15 269
Philipp Wahle Germany 5 376 1.8× 32 0.5× 88 1.4× 7 0.4× 59 3.3× 7 438
Anna Trigos Australia 8 307 1.4× 61 0.9× 122 1.9× 5 0.3× 34 1.9× 17 431
Carmen Maria Livi Spain 10 556 2.6× 63 0.9× 95 1.5× 18 0.9× 25 1.4× 12 625
Luiz A. Bovolenta Brazil 6 279 1.3× 18 0.3× 135 2.1× 6 0.3× 30 1.7× 14 362
Ciyu Yang United States 8 164 0.8× 30 0.4× 31 0.5× 6 0.3× 12 0.7× 16 240

Countries citing papers authored by Kjong-Van Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Kjong-Van Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kjong-Van Lehmann. 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 Kjong-Van Lehmann. The network helps show where Kjong-Van Lehmann may publish in the future.

Co-authorship network of co-authors of Kjong-Van Lehmann

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

All Works

12 of 12 papers shown
1.
Loeffler, Chiara Maria Lavinia, Omar S. M. El Nahhas, Zunamys I. Carrero, et al.. (2024). Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types. BMC Biology. 22(1). 225–225. 4 indexed citations
2.
Bunne, Charlotte, Stefan G. Stark, Gabriele Gut, et al.. (2023). Learning single-cell perturbation responses using neural optimal transport. Nature Methods. 20(11). 1759–1768. 56 indexed citations
3.
Snoeren, Inge, Eric M. Bindels, Stephani Schmitz, et al.. (2023). Collaborative effect of Csnk1a1 haploinsufficiency and mutant p53 in Myc induction can promote leukemic transformation. Blood Advances. 8(3). 766–779.
4.
Stark, Stefan G., et al.. (2022). SECEDO: SNV-based subclone detection using ultra-low coverage single-cell DNA sequencing. Bioinformatics. 38(18). 4293–4300. 4 indexed citations
5.
Lehmann, Kjong-Van, et al.. (2022). RNA Instant Quality Check: Alignment-Free RNA-Degradation Detection. Journal of Computational Biology. 29(8). 857–866. 1 indexed citations
6.
Lyu, Xinrui, et al.. (2020). Mutational signature learning with supervised negative binomial non-negative matrix factorization. Bioinformatics. 36(Supplement_1). i154–i160. 4 indexed citations
7.
Demircioğlu, Deniz, Engin Cukuroglu, Tannistha Nandi, et al.. (2019). A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters. Cell. 178(6). 1465–1477.e17. 131 indexed citations
8.
Fear, Justin M., Luis León‐Novelo, Alison M. Morse, et al.. (2016). Buffering of Genetic Regulatory Networks inDrosophila melanogaster. Genetics. 203(3). 1177–1190. 33 indexed citations
9.
Kurmangaliyev, Yerbol Z., Alexander V. Favorov, Kjong-Van Lehmann, et al.. (2015). Natural variation of gene models in Drosophila melanogaster. BMC Genomics. 16(1). 198–198. 5 indexed citations
10.
Lehmann, Kjong-Van, André Kahles, Cyriac Kandoth, et al.. (2014). INTEGRATIVE GENOME-WIDE ANALYSIS OF THE DETERMINANTS OF RNA SPLICING IN KIDNEY RENAL CLEAR CELL CARCINOMA. PubMed. 44–55. 5 indexed citations
11.
Lehmann, Kjong-Van, et al.. (2013). Whole‐genome sequencing of two North American Drosophila melanogaster populations reveals genetic differentiation and positive selection. Molecular Ecology. 22(20). 5084–5097. 31 indexed citations
12.
Lehmann, Kjong-Van & Ting Chen. (2012). Exploring functional variant discovery in non-coding regions with SInBaD. Nucleic Acids Research. 41(1). e7–e7. 20 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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