Dan A. Landau

10.2k total citations · 2 hit papers
50 papers, 2.3k citations indexed

About

Dan A. Landau is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Dan A. Landau has authored 50 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Hematology and 14 papers in Cancer Research. Recurrent topics in Dan A. Landau's work include Single-cell and spatial transcriptomics (14 papers), Cancer Genomics and Diagnostics (14 papers) and Chronic Lymphocytic Leukemia Research (10 papers). Dan A. Landau is often cited by papers focused on Single-cell and spatial transcriptomics (14 papers), Cancer Genomics and Diagnostics (14 papers) and Chronic Lymphocytic Leukemia Research (10 papers). Dan A. Landau collaborates with scholars based in United States, France and Germany. Dan A. Landau's co-authors include Ronan Chaligné, Anna S. Nam, Irene M. Ghobrial, Gad Getz, Jihye Park, Karma Z. Salem, Salomon Manier, Samuel F. Bakhoum, Catherine J. Wu and David Saadoun and has published in prestigious journals such as Nature, Nature Genetics and Blood.

In The Last Decade

Dan A. Landau

46 papers receiving 2.2k citations

Hit Papers

Discovery of a periosteal stem cell mediating intramembra... 2016 2026 2019 2022 2018 2016 100 200 300 400

Peers

Dan A. Landau
Comparison fields: 5 of 111
  • Molecular Biology 1.3k
  • Hematology 566
  • Cancer Research 504
  • Oncology 448
  • Genetics 367
Replace Véronique Maguer‐Satta with:
Véronique Maguer‐Satta France
Silvia Buonamici United States
María D. Odero Spain
Nathalie A. Lokker United States
Marc Delord France
Kolja Eppert Canada
Paolo Sportoletti Italy
Nerbil Kilic Germany
Elena Tenedini Italy
Todd W. Kelley United States
Véronique Maguer‐Satta France View profile →
Citations per field, relative to Dan A. Landau
Dan A. Landau · 1×
Citations per year, relative to Dan A. Landau
Dan A. Landau · 1×

Countries citing papers authored by Dan A. Landau

Since Specialization
Citations

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

Fields of papers citing papers by Dan A. Landau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan A. Landau. 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 Dan A. Landau. The network helps show where Dan A. Landau may publish in the future.

Co-authorship network of co-authors of Dan A. Landau

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 42
5 91
6 39
7 59
8 47
9 9
10 126
11
Deep learning mutation prediction enables early stage lung cancer detection in liquid biopsy
9
12 1
13
Genomic complexity of multiple myeloma and its clinical implications breakdown →
354
14 1
15 22
16 104
17 36
18 8
19 74
20 36

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026