Liru Wang
Impact in
- Plant Science top 2%
- Research in Cotton Cultivation
- Plant Stress Responses and Tolerance
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Research in Cotton Cultivation 37
- Horticultural and Viticultural Research 4
- Hematology 16
- Acute Myeloid Leukemia Research 9
- Multiple Myeloma Research and Treatments 6
- Co-authors
- L. C. Vining (4 shared papers)Shoupu He (23 shared papers)Yinhua Jia (23 shared papers)Zhaoe Pan (24 shared papers)Xiongming Du (22 shared papers)Kamaljit Kaur (2 shared papers)Baoyin Pang (16 shared papers)Witold B. Rybka (2 shared papers)
In The Last Decade
Liru Wang
114 papers receiving 2.9k citations
Liru Wang's Hit Papers
Peers
Comparison fields: 5 of 99
- Plant Science 1.4k
- Hematology 385
- Pharmacology 187
- Oncology 177
- Microbiology 40
Countries citing papers authored by Liru Wang
This map shows the geographic impact of Liru Wang'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 Liru Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liru Wang more than expected).
Fields of papers citing papers by Liru Wang
This network shows the impact of papers produced by Liru Wang. 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 Liru Wang. The network helps show where Liru Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Liru Wang, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Resequencing of 243 diploid cotton accessions based on an updated A genome identifies the genetic basis of key agronomic traits Hit paper breakdown → | 2018 | 420 |
| 2 | Resequencing a core collection of upland cotton identifies genomic variation and loci influencing fiber quality and yield Hit paper breakdown → | 2018 | 397 |
| 3 | 2013 | 279 | |
| 4 | 2018 | 155 | |
| 5 | 2021 | 143 | |
| 6 | 2017 | 96 | |
| 7 | 2018 | 55 | |
| 8 | 2001 | 47 | |
| 9 | 2002 | 47 | |
| 10 | 2006 | 47 | |
| 11 | 2014 | 46 | |
| 12 | 2018 | 46 | |
| 13 | 2003 | 44 | |
| 14 | 2018 | 44 | |
| 15 | 2020 | 42 | |
| 16 | 2011 | 40 | |
| 17 | 2001 | 39 | |
| 18 | 2021 | 39 | |
| 19 | 2023 | 38 | |
| 20 | 2012 | 37 |
About Liru Wang
Liru Wang is a scholar working on Plant Science, Hematology, Radiology, Nuclear Medicine and Imaging, Pharmacology and Neurology, having authored 117 papers that have together received 2.9k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (37 papers), Acute Myeloid Leukemia Research (9 papers), Plasma Applications and Diagnostics (6 papers), Multiple Myeloma Research and Treatments (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Horticultural and Viticultural Research (4 papers), Plant Gene Expression Analysis (4 papers) and Asymmetric Synthesis and Catalysis (3 papers). The work is most often cited by research in Plant Science (1.4k citations), Hematology (385 citations), Pharmacology (187 citations), Oncology (177 citations) and Microbiology (40 citations). Liru Wang has collaborated with scholars based in China, Canada and Pakistan. Frequent co-authors include L. C. Vining, Shoupu He, Yinhua Jia, Zhaoe Pan, Xiongming Du, Kamaljit Kaur, Baoyin Pang, Witold B. Rybka, Hong Zheng and William Christopher Ehmann. Their work appears in journals such as Frontiers in Plant Science, Blood, Nature Genetics, Frontiers in Genetics and Microbiology.
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.