Long Su
Impact in
- Surfaces, Coatings and Films top 2%
- Polymer Surface Interaction Studies
- Materials Chemistry top 5%
- Block Copolymer Self-Assembly
- Pickering emulsions and particle stabilization
- Quantum Dots Synthesis And Properties
Papers in
-
- Insect Resistance and Genetics 4
- Hematology 25
- Acute Myeloid Leukemia Research 23
- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Qian Wang (4 shared papers)Alexander Böker (3 shared papers)Yao Lin (3 shared papers)Jinbo He (3 shared papers)Kevin Sill (3 shared papers)Todd Emrick (3 shared papers)Thomas P. Russell (3 shared papers)Anna C. Balazs (1 shared paper)
- Journals
- Annals of Hematology (5 papers)Insects (4 papers)Acta Haematologica (3 papers)Scientific Data (3 papers)Human Genetics (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Long Su
78 papers receiving 2.1k citations
Long Su's Hit Papers
Peers
Comparison fields: 5 of 140
- Surfaces, Coatings and Films 241
- Materials Chemistry 771
- Organic Chemistry 448
- Hematology 152
- Toxicology 38
Countries citing papers authored by Long Su
This map shows the geographic impact of Long Su'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 Long Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Su more than expected).
Fields of papers citing papers by Long Su
This network shows the impact of papers produced by Long Su. 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 Long Su. The network helps show where Long Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Su, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Self-directed self-assembly of nanoparticle/copolymer mixtures Hit paper breakdown → | 2005 | 824 |
| 2 | 1994 | 311 | |
| 3 | 2005 | 213 | |
| 4 | 2017 | 88 | |
| 5 | 2012 | 51 | |
| 6 | 2016 | 49 | |
| 7 | 2020 | 36 | |
| 8 | 2018 | 34 | |
| 9 | 2005 | 32 | |
| 10 | 2011 | 30 | |
| 11 | 2013 | 30 | |
| 12 | 2021 | 28 | |
| 13 | 2022 | 26 | |
| 14 | 2017 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 1994 | 19 | |
| 17 | 2022 | 18 | |
| 18 | 1993 | 17 | |
| 19 | 2011 | 15 | |
| 20 | 2021 | 14 |
About Long Su
Long Su is a scholar working on Molecular Biology, Hematology, Genetics, Insect Science and Genetics, having authored 88 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (23 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Insect and Arachnid Ecology and Behavior (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Insect-Plant Interactions and Control (6 papers), Insect and Pesticide Research (5 papers), Plant and animal studies (5 papers) and Insect Resistance and Genetics (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (241 citations), Materials Chemistry (771 citations), Organic Chemistry (448 citations), Hematology (152 citations) and Toxicology (38 citations). Long Su has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qian Wang, Alexander Böker, Yao Lin, Jinbo He, Kevin Sill, Todd Emrick, Thomas P. Russell, Anna C. Balazs, Hongqi Xiang and Clarissa Abetz. Their work appears in journals such as Annals of Hematology, Insects, Acta Haematologica, Scientific Data and Human Genetics.
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.