Jon Graham

608 citations
18 papers · 472 · h-index 9

Impact in

Papers in

Jon Graham

17 papers receiving 464 citations

Peers

Jon Graham
Comparison fields: 5 of 49
  • Global and Planetary Change 173
  • Health, Toxicology and Mutagenesis 105
  • Modeling and Simulation 20
  • Nature and Landscape Conservation 34
  • Ecology 63
Replace R. H. Gardner with:
R. H. Gardner United States
Beau MacDonald United States
Sandra Mara Alves da Silva Neves Brazil
Luca Bracchetti Italy
Erla Sturludóttir Iceland
Yao Télesphore Brou France
Kévin Barré France
Christopher J. Lucani Australia
Griselda Benı́tez Mexico
Jon Graham relative to R. H. Gardner United States R. H. Gardner's profile →
Citations per field
00.5×10×20×30×41×
R. H. Gardner · 1×
Citations per year

Countries citing papers authored by Jon Graham

Since Specialization
Citations

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

Fields of papers citing papers by Jon Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010140
2 200388
3 201477
4 202152
5 201130
6 202417
7 202215
8 202213
9 202512
10 20068
11 20205
12 20255
13 20253
14 20253
15 20242
16 20101
17 20231
18 20230

About Jon Graham

Jon Graham is a scholar working on Health, Toxicology and Mutagenesis, Global and Planetary Change, Pollution, Virology and Modeling and Simulation, having authored 18 papers that have together received 472 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (4 papers), Fire effects on ecosystems (3 papers), Urban Green Space and Health (2 papers), Energy and Environment Impacts (2 papers), Heavy Metal Exposure and Toxicity (1 paper), Plant Water Relations and Carbon Dynamics (1 paper), Remote Sensing in Agriculture (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). The work is most often cited by research in Global and Planetary Change (173 citations), Health, Toxicology and Mutagenesis (105 citations), Modeling and Simulation (20 citations), Nature and Landscape Conservation (34 citations) and Ecology (63 citations). Jon Graham has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Thomas H. DeLuca, Cameron E. Naficy, Anna Sala, Eric G. Keeling, Matthias C. Rillig, Erin L. Landguth, Erin O'Brien Semmens, John S. Kimball, Steven W. Running and Jens Kattge. Their work appears in journals such as Environmental Health Perspectives, Ecological Applications, Environmental Research, Environmental Health and Plant and Soil.

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.

Explore authors with similar magnitude of impact