Neng Nie
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Mesenchymal stem cell research
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 26
- Hematopoietic Stem Cell Transplantation 18
- Blood groups and transfusion 4
- Immunology 16
- T-cell and B-cell Immunology 7
- Complement system in diseases 6
- Immune Cell Function and Interaction 6
- Co-authors
- Yizhou Zheng (36 shared papers)Meili Ge (37 shared papers)Jinbo Huang (35 shared papers)Yingqi Shao (35 shared papers)Xingxin Li (30 shared papers)Jun Shi (21 shared papers)Zhendong Huang (20 shared papers)Shihong Lu (5 shared papers)
- Journals
- Cytokine (4 papers)Annals of Hematology (3 papers)Blood (2 papers)International Journal of Hematology (2 papers)Acta Haematologica (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Neng Nie
40 papers receiving 397 citations
Peers
Comparison fields: 5 of 67
- Hematology 218
- Genetics 109
- Immunology 150
- Ophthalmology 24
- Physiology 61
Countries citing papers authored by Neng Nie
This map shows the geographic impact of Neng Nie'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 Neng Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neng Nie more than expected).
Fields of papers citing papers by Neng Nie
This network shows the impact of papers produced by Neng Nie. 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 Neng Nie. The network helps show where Neng Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Neng Nie, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 97 | |
| 2 | 2020 | 59 | |
| 3 | [Clinical and laboratory study of a case of hematidrosis]. | 2004 | 28 |
| 4 | 2013 | 25 | |
| 5 | 2017 | 22 | |
| 6 | 2013 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2015 | 10 | |
| 10 | 2014 | 10 | |
| 11 | 2007 | 9 | |
| 12 | 2015 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2013 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2015 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2023 | 5 | |
| 19 | [A long-term follow up study on 345 severe aplastic anemia patients treated with antithymocyte globulin/lymphoglobulin]. | 2013 | 5 |
| 20 | 2013 | 5 |
About Neng Nie
Neng Nie is a scholar working on Hematology, Immunology, Genetics, Physiology and Surgery, having authored 42 papers that have together received 402 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), T-cell and B-cell Immunology (7 papers), Mesenchymal stem cell research (6 papers), Complement system in diseases (6 papers), Transplantation: Methods and Outcomes (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Immune Cell Function and Interaction (6 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Hematology (218 citations), Genetics (109 citations), Immunology (150 citations), Ophthalmology (24 citations) and Physiology (61 citations). Neng Nie has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yizhou Zheng, Meili Ge, Jinbo Huang, Yingqi Shao, Xingxin Li, Jun Shi, Zhendong Huang, Shihong Lu, Jing Zhang and Min Wang. Their work appears in journals such as Cytokine, Annals of Hematology, Blood, International Journal of Hematology and Acta Haematologica.
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.