Robert Li
Impact in
- Hematology top 2%
- Iron Metabolism and Disorders
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in ⓘ
-
- Image and Signal Denoising Methods 8
- Advanced Data Compression Techniques 3
- Image Processing and 3D Reconstruction 2
- Genetics 9
- Hemoglobinopathies and Related Disorders 5
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Co-authors
- T. Williams (5 shared papers)Ravindra Kumar (7 shared papers)R. Scott Pearsall (7 shared papers)Rajasekhar N.V.S. Suragani (8 shared papers)Sharon M Cawley (4 shared papers)Asya V. Grinberg (3 shared papers)Mark J. Alexander (2 shared papers)Jed DeVaro (1 shared paper)
- Journals
- Blood (6 papers)PLoS ONE (3 papers)Cell Metabolism (1 paper)Nature Medicine (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Robert Li
44 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Hematology 372
- Genetics 330
- Aging 23
- Cardiology and Cardiovascular Medicine 245
- Physiology 181
Countries citing papers authored by Robert Li
This map shows the geographic impact of Robert Li'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 Robert Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Li more than expected).
Fields of papers citing papers by Robert Li
This network shows the impact of papers produced by Robert Li. 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 Robert Li. The network helps show where Robert Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transforming growth factor-β superfamily ligand trap ACE-536 corrects anemia by promoting late-stage erythropoiesis Hit paper breakdown → | 2014 | 346 |
| 2 | 2017 | 145 | |
| 3 | 2014 | 117 | |
| 4 | Wavelet Pooling for Convolutional Neural Networks | 2018 | 87 |
| 5 | 2007 | 72 | |
| 6 | 2007 | 70 | |
| 7 | 2014 | 52 | |
| 8 | 2016 | 44 | |
| 9 | 2019 | 43 | |
| 10 | 2020 | 37 | |
| 11 | 2014 | 37 | |
| 12 | 2003 | 33 | |
| 13 | 1981 | 29 | |
| 14 | 2012 | 26 | |
| 15 | 2017 | 19 | |
| 16 | 2018 | 16 | |
| 17 | 2016 | 15 | |
| 18 | 2005 | 10 | |
| 19 | 2015 | 10 | |
| 20 | 2018 | 9 |
About Robert Li
Robert Li is a scholar working on Computer Vision and Pattern Recognition, Genetics, Surgery, Hematology and Molecular Biology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Hemoglobinopathies and Related Disorders (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Acute Myeloid Leukemia Research (3 papers), Advanced Data Compression Techniques (3 papers), Advanced Image Fusion Techniques (3 papers), Cardiac Valve Diseases and Treatments (3 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Hematology (372 citations), Genetics (330 citations), Aging (23 citations), Cardiology and Cardiovascular Medicine (245 citations) and Physiology (181 citations). Robert Li has collaborated with scholars based in United States, Canada and China. Frequent co-authors include T. Williams, Ravindra Kumar, R. Scott Pearsall, Rajasekhar N.V.S. Suragani, Sharon M Cawley, Asya V. Grinberg, Mark J. Alexander, Jed DeVaro, Dianne Sako and Kenneth S. Loveday. Their work appears in journals such as Blood, PLoS ONE, Cell Metabolism, Nature Medicine and Scientific Reports.
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.