JANE S. LEBKOWSKI

7.6k citations
98 papers · 6.4k · h-index 46

Impact in

Papers in

    • Pluripotent Stem Cells Research 22
    • RNA Interference and Gene Delivery 16
    • CRISPR and Genetic Engineering 13
    • Retinal Development and Disorders 10
    • Virus-based gene therapy research 23

JANE S. LEBKOWSKI

96 papers receiving 6.0k citations

Peers

JANE S. LEBKOWSKI
Comparison fields: 5 of 124
  • Molecular Biology 4.6k
  • Developmental Neuroscience 174
  • Genetics 406
  • Genetics 1.1k
  • Immunology 754
Replace Thierry VandenDriessche with:
Thierry VandenDriessche Belgium
Antonio A. Postigo Spain
René Maehr United States
Rob C. Hoeben Netherlands
Yawen L. Chiang United States
Eugenio Montini Italy
Jürgen Soutschek United States
Friedhelm Bladt Germany
Michele A. Cleary United States
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JANE S. LEBKOWSKI relative to Thierry VandenDriessche Belgium Thierry VandenDriessche's profile →
Citations per field
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Citations per year

Countries citing papers authored by JANE S. LEBKOWSKI

Since Specialization
Citations

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

Fields of papers citing papers by JANE S. LEBKOWSKI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JANE S. LEBKOWSKI. 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 JANE S. LEBKOWSKI. The network helps show where JANE S. LEBKOWSKI may publish in the future.

Co-authors

The 25 scholars most cited alongside JANE S. LEBKOWSKI, 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 JANE S. LEBKOWSKI Line = papers co-authored together JANE S. LEBKOWSKI links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005334
2 2000308
3 1983302
4 2004299
5 2018293
6 2004273
7 1982220
8 2005211
9 2006186
10 1982169
11 2004167
12 2005160
13 1984130
14 2007128
15 1985126
16 2007115
17 2004114
18 1988114
19 2017106
20 2015104

About JANE S. LEBKOWSKI

JANE S. LEBKOWSKI is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Hematology, having authored 98 papers that have together received 6.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), Pluripotent Stem Cells Research (22 papers), RNA Interference and Gene Delivery (16 papers), Immunotherapy and Immune Responses (15 papers), CRISPR and Genetic Engineering (13 papers), CAR-T cell therapy research (12 papers), Retinal Development and Disorders (10 papers) and Hematopoietic Stem Cell Transplantation (8 papers). The work is most often cited by research in Molecular Biology (4.6k citations), Developmental Neuroscience (174 citations), Genetics (406 citations), Genetics (1.1k citations) and Immunology (754 citations). JANE S. LEBKOWSKI has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Ulrich K. Laemmli, M P Calos, Michael R. Botchan, Anish Sen Majumdar, Chunhui Xu, Melissa K. Carpenter, Ramkumar K. Mandalam, Elisa Brunette, Michèle P. Calos and Edward D. Wirth. Their work appears in journals such as Molecular and Cellular Biology, Regenerative Medicine, Journal of Immunotherapy, Stem Cells and Journal of Molecular Biology.

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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