Jane Ma

763 citations
15 papers · 512 · h-index 11

Impact in

Papers in

Jane Ma

14 papers receiving 493 citations

Peers

Jane Ma
Comparison fields: 5 of 78
  • Health, Toxicology and Mutagenesis 83
  • Pulmonary and Respiratory Medicine 153
  • Materials Chemistry 177
  • Drug Discovery 1
  • Immunology 52
Replace Hana Barošová with:
Hana Barošová Switzerland
Xuejun J. Yin United States
Jodie R. Pietruska United States
Motoi Todoroki Japan
Janis MacCallum United Kingdom
Mark A. Hartsky United States
Chikara Kadoya Japan
Andreas Schröppel Germany
Johanna Samulin Erdem Norway
Taisuke Tomonaga Japan
Jane Ma relative to Hana Barošová Switzerland Hana Barošová's profile →
Citations per field
00.5×1.5×2.1×
Hana Barošová · 1×
Citations per year

Countries citing papers authored by Jane Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jane Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jane Ma, 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 Jane Ma Line = papers co-authored together Jane Ma links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2012141
2 200270
3 201562
4 199753
5 201749
6
Cis-4-[(18)F]fluoro-L-proline PET imaging of pulmonary fibrosis in a rabbit model.
200238
7 200323
8 200418
9 201717
10 201715
11 200014
12 198110
13 19791
14
Implementation of EcoAIM (trademark) - A Multi-Objective Decision Support Tool for Ecosystem Services at Department of Defense Installations
20141
15 20250

About Jane Ma

Jane Ma is a scholar working on Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Immunology, Cancer Research and Global and Planetary Change, having authored 15 papers that have together received 512 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Immunotoxicology and immune responses (3 papers), Land Use and Ecosystem Services (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Nanoparticles: synthesis and applications (2 papers), Air Quality and Health Impacts (2 papers) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (83 citations), Pulmonary and Respiratory Medicine (153 citations), Materials Chemistry (177 citations), Drug Discovery (1 citation) and Immunology (52 citations). Jane Ma has collaborated with scholars based in United States. Frequent co-authors include Vincent Castranova, Mark W. Barger, Diane Schwegler‐Berry, Philip Demokritou, Robert R. Mercer, Walter McKinney, Samuel Gass, Georgios Pyrgiotakis, William Travis Goldsmith and David G. Frazer. Their work appears in journals such as Toxicology and Applied Pharmacology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Environmental Research, Nanotoxicology and Integrated Environmental Assessment and Management.

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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