Edroaldo Lummertz da Rocha
- Molecular Biology top 5%
- Physiology top 10%
- Neurology top 5%
- Cell Biology top 5%
- Immunology top 10%
- Co-authors
- Hu LiGeorge Q. DaleyJames J. CollinsPatrick CahanSamantha A. MorrisCarlos R. RamboR. Grant RoweMohan Malleshaiah
- Topics
- Pluripotent Stem Cells Research (8 papers)Single-cell and spatial transcriptomics (7 papers)Zebrafish Biomedical Research Applications (7 papers)
- Cited by
- Molecular BiologyNeurologyGenetics
- Journals
- NatureCellNucleic Acids Research
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Edroaldo Lummertz da Rocha
46 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.4k
- Physiology 300
- Neurology 290
- Cell Biology 269
- Immunology 223
Countries citing papers authored by Edroaldo Lummertz da Rocha
This map shows the geographic impact of Edroaldo Lummertz da Rocha'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 Edroaldo Lummertz da Rocha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edroaldo Lummertz da Rocha more than expected).
Fields of papers citing papers by Edroaldo Lummertz da Rocha
This network shows the impact of papers produced by Edroaldo Lummertz da Rocha. 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 Edroaldo Lummertz da Rocha. The network helps show where Edroaldo Lummertz da Rocha may publish in the future.
Co-authorship network of co-authors of Edroaldo Lummertz da Rocha
This figure shows the co-authorship network connecting the top 25 collaborators of Edroaldo Lummertz da Rocha. A scholar is included among the top collaborators of Edroaldo Lummertz da Rocha 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 Edroaldo Lummertz da Rocha. Edroaldo Lummertz da Rocha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 24 | |
| 8 | 15 | |
| 9 | 13 | |
| 10 | 61 | |
| 11 | 15 | |
| 12 | 26 | |
| 13 | 15 | |
| 14 | 28 | |
| 15 | Haematopoietic stem and progenitor cells from human pluripotent stem cellsbreakdown → | 337 |
| 16 | 40 | |
| 17 | 308 | |
| 18 | 9 | |
| 19 | 47 | |
| 20 | 65 |
About Edroaldo Lummertz da Rocha
Edroaldo Lummertz da Rocha is a scholar working on Hematology, Biophysics and Cell Biology, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Single-cell and spatial transcriptomics (7 papers) and Zebrafish Biomedical Research Applications (7 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Neurology (290 citations) and Genetics (191 citations). Edroaldo Lummertz da Rocha has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Hu Li, George Q. Daley, James J. Collins, Patrick Cahan, Samantha A. Morris, Carlos R. Rambo, R. Grant Rowe, Mohan Malleshaiah, Areum Han and Deepak Kumar Jha. Their work appears in journals such as Nature, Cell 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.