Kjong-Van Lehmann

19.1k citations
12 papers · 294 · h-index 6

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Single-cell and spatial transcriptomics
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • Gene Regulatory Network Analysis

Papers in

    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • Single-cell and spatial transcriptomics 2
    • RNA and protein synthesis mechanisms 2
    • Genomics and Phylogenetic Studies 2
    • Cancer Genomics and Diagnostics 5

Kjong-Van Lehmann

11 papers receiving 294 citations

Peers

Kjong-Van Lehmann
Comparison fields: 5 of 58
  • Cancer Research 63
  • Molecular Biology 214
  • Biophysics 15
  • Genetics 71
  • Insect Science 13
Replace Eyal Mozes with:
Eyal Mozes United States
Ian Morilla Spain
Jingxue Xin China
Luiz A. Bovolenta Brazil
Muhammad A. Zabidi Austria
Darya Chetverina Russia
Philipp Wahle Germany
David Mauduit Belgium
Binny Bhandary United States
Cong Liang China
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Citations per field
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Eyal Mozes · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kjong-Van Lehmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kjong-Van Lehmann Line = papers co-authored together Kjong-Van Lehmann links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2019131
2 202356
3 201633
4 201331
5 201220
6 20155
7 20145
8 20224
9 20244
10 20204
11 20221
12 20230

About Kjong-Van Lehmann

Kjong-Van Lehmann is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Genetics, having authored 12 papers that have together received 294 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), Single-cell and spatial transcriptomics (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Rare Diseases (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Cancer Research (63 citations), Molecular Biology (214 citations), Biophysics (15 citations), Genetics (71 citations) and Insect Science (13 citations). Kjong-Van Lehmann has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Gunnar Rätsch, André Kahles, Sergey V. Nuzhdin, Oliver Stegle, Ting Chen, Claudia Calabrese, Alvis Brāzma, Nuno A. Fonseca, Tannistha Nandi and Patrick Tan. Their work appears in journals such as Bioinformatics, Nature Methods, BMC Biology, BMC Genomics and Molecular Ecology.

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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