Manna Wang

21 papers receiving 586 citations

Manna Wang's Hit Papers

irGSEA: the integration of single-cell rank-based gene set enrichment analysis 2024 · 84 citations
840+1Years since publication255075

Peers

Manna Wang
Comparison fields: 5 of 91
  • Immunology 213
  • Pollution 48
  • Health, Toxicology and Mutagenesis 55
  • Physiology 94
  • Oncology 88
Replace Letizia Da Sacco with:
Letizia Da Sacco Italy
María J. Lapponi Argentina
Diana Carmona-Fernandes Portugal
Dannys Jorge Martínez-Herrera Spain
Tiansheng Chen China
Saliha Ait Yahia France
David J. Sukovich United States
Thierry Kortulewski France
Cailing Li China
Basudev Chowdhury United States
Manna Wang relative to Letizia Da Sacco Italy Letizia Da Sacco's profile →
Citations per field
00.5×2×4×6.8×
Letizia Da Sacco · 1×
Citations per year

Countries citing papers authored by Manna Wang

Since Specialization
Citations

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

Fields of papers citing papers by Manna Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manna Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manna Wang Line = papers co-authored together Manna Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
irGSEA: the integration of single-cell rank-based gene set enrichment analysis
Hit paper breakdown →
202484
2 202072
3 201548
4 202046
5 201541
6 201841
7 202039
8 201938
9 201930
10 202029
11 201727
12 202226
13 202118
14 201516
15 201914
16 20229
17 20227
18 20205
19 20233
20
[Nuclear protein 1 knockdown inhibits proliferation and migration of HepG2 cells].
20153

About Manna Wang

Manna Wang is a scholar working on Health, Toxicology and Mutagenesis, Immunology, Water Science and Technology, Pollution and Endocrinology, having authored 22 papers that have together received 597 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (6 papers), Water Treatment and Disinfection (5 papers), Fecal contamination and water quality (3 papers), Pancreatic function and diabetes (3 papers), Cancer Cells and Metastasis (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Single-cell and spatial transcriptomics (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Immunology (213 citations), Pollution (48 citations), Health, Toxicology and Mutagenesis (55 citations), Physiology (94 citations) and Oncology (88 citations). Manna Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chihiro Yoshimura, Mohamed Ateia, Dion Awfa, Zhaolie Chen, Hongyan Huang, Qiang Sun, Xiaoning Wang, Zubiao Niu, Li Ma and Lian Ma. Their work appears in journals such as Chemosphere, Scientific Reports, Journal of Water Process Engineering, Frontiers in Oncology and Agriculture Ecosystems & Environment.

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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