Rumin Zhang
- Molecular Medicine top 5%
- Health Informatics top 10%
- Pharmacology top 10%
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- Allelopathy and phytotoxic interactions 6
- Plant responses to elevated CO2 5
- Plant Parasitism and Resistance 3
- Plant Stress Responses and Tolerance 3
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- Biocrusts and Microbial Ecology 3
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- Sepsis Diagnosis and Treatment 3
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- COVID-19 Clinical Research Studies 2
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- Inflammation biomarkers and pathways 2
- Co-authors
- Yong YuKai WangBing XieNianzong HouLu HeLin WangMingzhe LiXiaodong Sun
- Partner nations
- ChinaUnited KingdomNepal
In The Last Decade
Rumin Zhang
38 papers receiving 773 citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Applied Microbiology and Biotechnology 47
- Molecular Medicine 82
- Health Informatics 15
- Pharmacology 122
- Family Practice 14
Countries citing papers authored by Rumin Zhang
This map shows the geographic impact of Rumin Zhang'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 Rumin Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rumin Zhang more than expected).
Fields of papers citing papers by Rumin Zhang
This network shows the impact of papers produced by Rumin Zhang. 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 Rumin Zhang. The network helps show where Rumin Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rumin Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 2 | |
| 2 | 2021 | 72 | |
| 3 | Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboostbreakdown → | 2020 | 307 |
| 4 | 2019 | 1 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 84 | |
| 7 | 2018 | 1 | |
| 8 | 2018 | 1 | |
| 9 | 2018 | 2 | |
| 10 | Effects of grazing intensity on soil microbial flora and soil enzyme activities in the Artemisia frigida rhizosphere. | 2017 | 1 |
| 11 | 2017 | 4 | |
| 12 | 2017 | 15 | |
| 13 | 2017 | 16 | |
| 14 | 2015 | 4 | |
| 15 | 2014 | 1 | |
| 16 | 2013 | 3 | |
| 17 | Volatile organic compounds of five hedgerow plants in Hangzhou | 2012 | 2 |
| 18 | Analysis of main volatile organic compounds and study of aboveground structures in Artemisia frigida. | 2010 | 3 |
| 19 | On College English Vocabulary Teaching | 2005 | 1 |
| 20 | A study on volume and velocity of stem sap flow of Populus popular^s by heat-pulse technique | 2001 | 3 |
About Rumin Zhang
Rumin Zhang is a scholar working on Forestry, Applied Microbiology and Biotechnology and Family Practice, having authored 39 papers that have together received 779 indexed citations. Recurring topics across this work include Allelopathy and phytotoxic interactions (6 papers), Plant responses to elevated CO2 (5 papers), Plant Parasitism and Resistance (3 papers), Plant Stress Responses and Tolerance (3 papers), Biocrusts and Microbial Ecology (3 papers), Sepsis Diagnosis and Treatment (3 papers), COVID-19 Clinical Research Studies (2 papers) and Inflammation biomarkers and pathways (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (47 citations), Molecular Medicine (82 citations) and Health Informatics (15 citations). Rumin Zhang has collaborated with scholars based in China, United Kingdom and Nepal. Frequent co-authors include Yong Yu, Kai Wang, Bing Xie, Nianzong Hou, Lu He, Lin Wang, Mingzhe Li, Xiaodong Sun, Zhaojiang Zuo and Xiaoyu Chen.
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.