Ruoming Wu

721 citations
14 papers · 482 indexed · 1 hit paper · h-index 8
Topics
Metabolomics and Mass Spectrometry Studies (2 papers)Traditional Chinese Medicine Analysis (2 papers)Amyotrophic Lateral Sclerosis Research (2 papers)
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Ruoming Wu

14 papers receiving 467 citations

Hit Papers

Prevalence of Amyotrophic Lateral Sclerosis — United Stat...2018202620202023201850100150200250

Peers

Ruoming Wu
Comparison fields: 5 of 100
  • Neurology 189
  • Molecular Biology 145
  • Genetics 100
  • Clinical Psychology 43
  • Public Health, Environmental and Occupational Health 40
Replace Huahua Zhong with:
Huahua Zhong China
Yuhong Li China
Stephen Trevick United States
Asieh Naderi Iran
Leah Mursaleen United Kingdom
Yin Hongxia China
Carlos Eduardo Silvado Brazil
Lihong Zhao China
Jessica M. Collins Australia
Ruoming Wu relative to Huahua Zhong China Huahua Zhong's profile →
Citations per field
00.5×8.6×
Huahua Zhong · 1×
Citations per year

Countries citing papers authored by Ruoming Wu

Since Specialization
Citations

This map shows the geographic impact of Ruoming Wu'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 Ruoming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoming Wu more than expected).

Fields of papers citing papers by Ruoming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruoming Wu. 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 Ruoming Wu. The network helps show where Ruoming Wu may publish in the future.

Co-authorship network of co-authors of Ruoming Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruoming Wu. A scholar is included among the top collaborators of Ruoming Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruoming Wu. Ruoming Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 7
3 4
4 6
5 26
6 1
7 3
8 33
9 17
10
Prevalence of Amyotrophic Lateral Sclerosis — United States, 2014breakdown →
276
11 16
12 52
13 34
14 5

About Ruoming Wu

Ruoming Wu is a scholar working on Biological Psychiatry, Complementary and alternative medicine and Pharmacology, having authored 14 papers that have together received 482 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (2 papers), Traditional Chinese Medicine Analysis (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Neurology (189 citations), Genetics (100 citations) and Pharmacology (35 citations). Ruoming Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Wendy Kaye, Paul Mehta, Jessica Cohen, Oleg Muravov, Reshma Punjani, Tracy L. Peters, D. Kevin Horton, Jaime Raymond, Daniel Heller and Theodore Larson. Their work appears in journals such as Journal of Ethnopharmacology, MMWR Morbidity and Mortality Weekly Report and Frontiers in Pharmacology.

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.

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