Anne Lewin

3.5k citations
27 papers · 2.9k indexed · 2 hit papers · h-index 18

Anne Lewin

27 papers receiving 2.8k citations

Hit Papers

Osteopetrosis in mice lacking NF-κB1 and NF-κB28401994202620042015250500750

Peers

Anne Lewin
Comparison fields: 5 of 109
  • Developmental Neuroscience 277
  • Cancer Research 601
  • Cellular and Molecular Neuroscience 715
  • Oncology 894
  • Immunology 524
Replace Marı́a T. Berciano with:
Marı́a T. Berciano Spain
Noriko Takegahara Japan
Rosetta Pedotti Italy
Hsiao‐Huei Chen Canada
Dominick Sinicropi United States
Steven H. Nye United States
Patricia A. Walicke United States
G. Properzi Italy
Jennifer Robertson Canada
Christine B. Gurniak Germany
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Citations per field
00.5×1.5×2.1×
Marı́a T. Berciano · 1×
Citations per year

Countries citing papers authored by Anne Lewin

Since Specialization
Citations

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

Fields of papers citing papers by Anne Lewin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202223
2 201572
3 20144
4 201118
5 201052
6 200837
7
Assessment of tissue biomarkers following anti-CD137 treatment in the EMT-6 mouse tumor model.
20062
8
Preclinical studies of BMS-582664, an alanine prodrug of BMS-540215, a potent, dual inhibitor of VEGFR-2 and FGFR-1 kinases
20051
9 200537
10 199857
11
Osteopetrosis in mice lacking NF-κB1 and NF-κB2breakdown →
1997840
12 199713
13 199527
14 1995172
15 1994103
16
Severe sensory and sympathetic neuropathies in mice carrying a disrupted Trk/NGF receptor genebreakdown →
1994792
17 199117
18 19914
19 199130
20 198877

About Anne Lewin

Anne Lewin is a scholar working on Immunology and Allergy, Cancer Research, Sensory Systems, Oncology and Immunology, having authored 27 papers that have together received 2.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Fibroblast Growth Factor Research (3 papers), Immune Response and Inflammation (3 papers), Cell Adhesion Molecules Research (3 papers), NF-κB Signaling Pathways (3 papers), Cancer-related Molecular Pathways (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Developmental Neuroscience (277 citations), Cancer Research (601 citations), Cellular and Molecular Neuroscience (715 citations), Oncology (894 citations) and Immunology (524 citations). Anne Lewin has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Sérgio A. Lira, Rodrigo Bravo, Yi Yang, Violetta Iotsova, James Loy, Jorge Caamaño, Richard J. Smeyne, Andreas Schnapp, Mariano Barbacid and Rüdiger Klein. Their work appears in journals such as Cancer Research, Inflammation Research, Molecular Cancer Therapeutics, The Journal of Experimental Medicine and Clinical Cancer Research.

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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