Alexandre How‐Kit

1.7k citations
37 papers · 895 · h-index 16

Impact in

Papers in

    • Epigenetics and DNA Methylation 8
    • Melanoma and MAPK Pathways 4
    • Molecular Biology Techniques and Applications 4
    • Cutaneous Melanoma Detection and Management 7
    • Cancer Cells and Metastasis 4

Alexandre How‐Kit

34 papers receiving 881 citations

Peers

Alexandre How‐Kit
Comparison fields: 5 of 89
  • Cancer Research 158
  • Oncology 251
  • Plant Science 271
  • Molecular Biology 470
  • Pathology and Forensic Medicine 110
Replace Irma Slavutsky with:
Irma Slavutsky Argentina
Maarten Hoek United States
Richard C. Centore United States
Megha Padi United States
Kikuë Tachibana Germany
Kate H. Brettingham‐Moore Australia
Victoria E. Brown United States
Emily K. Jackson United States
Yasutoshi Tatsumi Japan
Alexandre How‐Kit relative to Irma Slavutsky Argentina Irma Slavutsky's profile →
Citations per field
00.5×3.7×
Irma Slavutsky · 1×
Citations per year

Countries citing papers authored by Alexandre How‐Kit

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre How‐Kit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandre How‐Kit. 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 Alexandre How‐Kit. The network helps show where Alexandre How‐Kit may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015261
2 2013109
3 201869
4 201660
5 201943
6 201932
7 201529
8 201627
9 201425
10 201723
11 201721
12 201418
13 201518
14 202217
15 201515
16 202015
17 201915
18 201514
19 201913
20 201611

About Alexandre How‐Kit

Alexandre How‐Kit is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 37 papers that have together received 895 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Epigenetics and DNA Methylation (8 papers), Cutaneous Melanoma Detection and Management (7 papers), Genetic factors in colorectal cancer (4 papers), Melanoma and MAPK Pathways (4 papers), Cancer Cells and Metastasis (4 papers), Molecular Biology Techniques and Applications (4 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Cancer Research (158 citations), Oncology (251 citations), Plant Science (271 citations), Molecular Biology (470 citations) and Pathology and Forensic Medicine (110 citations). Alexandre How‐Kit has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Jörg Tost, Laura G. Baudrin, Jean‐François Deleuze, Antoine Daunay, Samia Mourah, Philippe Gallusci, Emeline Teyssier, Linda Stammitti, Yiguo Hong and Florence Mauger. Their work appears in journals such as Journal of Investigative Dermatology, Scientific Reports, European Respiratory Journal, Plant Molecular Biology and Nucleic Acids 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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