Jeremy D. Silver

4.9k total citations · 2 hit papers
66 papers, 2.5k citations indexed

About

Jeremy D. Silver is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jeremy D. Silver has authored 66 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 27 papers in Global and Planetary Change and 17 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jeremy D. Silver's work include Atmospheric chemistry and aerosols (24 papers), Atmospheric and Environmental Gas Dynamics (20 papers) and Air Quality and Health Impacts (14 papers). Jeremy D. Silver is often cited by papers focused on Atmospheric chemistry and aerosols (24 papers), Atmospheric and Environmental Gas Dynamics (20 papers) and Air Quality and Health Impacts (14 papers). Jeremy D. Silver collaborates with scholars based in Australia, United States and Denmark. Jeremy D. Silver's co-authors include Matthew E. Ritchie, Gordon K. Smyth, Alicia Oshlack, Melissa L. Holmes, Andrew J. Holloway, Dileepa Diyagama, Jørgen Brandt, Jesper Heile Christensen, Camilla Geels and Kaj Mantzius Hansen and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jeremy D. Silver

64 papers receiving 2.4k citations

Hit Papers

A comparison of background correction methods for two-col... 2007 2026 2013 2019 2007 2020 200 400 600

Peers

Jeremy D. Silver
Xuan Lü China
Yi ̆ United States
Mark Brewer United Kingdom
Hua Liao China
Jun Cai China
William Navidi United States
Alan Y. Chiang United States
Xuan Lü China
Jeremy D. Silver
Citations per year, relative to Jeremy D. Silver Jeremy D. Silver (= 1×) peers Xuan Lü

Countries citing papers authored by Jeremy D. Silver

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy D. Silver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy D. Silver. 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 Jeremy D. Silver. The network helps show where Jeremy D. Silver may publish in the future.

Co-authorship network of co-authors of Jeremy D. Silver

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy D. Silver. A scholar is included among the top collaborators of Jeremy D. Silver 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 Jeremy D. Silver. Jeremy D. Silver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Duc, Hiep Nguyen, Md Mahmudur Rahman, Merched Azzi, et al.. (2022). Study of Planetary Boundary Layer, Air Pollution, Air Quality Models and Aerosol Transport Using Ceilometers in New South Wales (NSW), Australia. Atmosphere. 13(2). 176–176. 16 indexed citations
3.
Quigley, Mark & Jeremy D. Silver. (2022). Science advocacy in political rhetoric and actions. Environment Systems & Decisions. 42(3). 462–476. 2 indexed citations
4.
Ryan, Robert G., Jeremy D. Silver, & Robyn Schofield. (2021). Air quality and health impact of 2019–20 Black Summer megafires and COVID-19 lockdown in Melbourne and Sydney, Australia. Environmental Pollution. 274. 116498–116498. 39 indexed citations
5.
Rayner, P. J., et al.. (2021). High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data. Atmospheric Environment. 270. 118881–118881. 7 indexed citations
6.
Ryan, Robert G., Jeremy D. Silver, Richard Querel, et al.. (2020). Comparison of formaldehyde tropospheric columns in Australia and New Zealand using MAX-DOAS, FTIR and TROPOMI. Atmospheric measurement techniques. 13(12). 6501–6519. 10 indexed citations
7.
Black, Jim, et al.. (2020). Are convergence lines associated with high asthma presentation days? A case-control study in Melbourne, Australia. The Science of The Total Environment. 737. 140263–140263. 11 indexed citations
8.
Chambers, Scott, Élise-Andrée Guérette, Alan D. Griffiths, et al.. (2019). Skill-Testing Chemical Transport Models across Contrasting Atmospheric Mixing States Using Radon-222. Atmosphere. 10(1). 25–25. 28 indexed citations
9.
Emmerson, Kathryn, Jeremy D. Silver, Ed Newbigin, et al.. (2019). Development and evaluation of pollen source methodologies for the Victorian Grass Pollen Emissions Module VGPEM1.0. Geoscientific model development. 12(6). 2195–2214. 15 indexed citations
10.
Deutscher, Nicholas M., David Griffith, Travis Naylor, et al.. (2019). Improved open path FTIR detection of fugitive CO2, CH4 and other trace gases in the atmosphere. EGUGA. 12509. 1 indexed citations
11.
Zhang, Xuanze, Ying‐Ping Wang, Shushi Peng, et al.. (2018). Dominant regions and drivers of the variability of the global land carbon sink across timescales. Global Change Biology. 24(9). 3954–3968. 33 indexed citations
12.
Silver, Jeremy D., Michael Sutherland, Fay H. Johnston, et al.. (2018). Seasonal asthma in Melbourne, Australia, and some observations on the occurrence of thunderstorm asthma and its predictability. PLoS ONE. 13(4). e0194929–e0194929. 51 indexed citations
13.
Corbett, Mark, Samantha J. Turner, Alison Gardner, et al.. (2017). Familial epilepsy with anterior polymicrogyria as a presentation of COL18A1 mutations. European Journal of Medical Genetics. 60(8). 437–443. 8 indexed citations
14.
Brandt, Jørgen, Jeremy D. Silver, Jesper Heile Christensen, et al.. (2013). Contribution from the ten major emission sectors in Europe to the Health-Cost Externalities of Air Pollution using the EVA Model System - an integrated modelling approach. EGU General Assembly Conference Abstracts. 2 indexed citations
15.
Rafkin, Scot, et al.. (2013). An Instrument to Measure Turbulent Fluxes in the Atmosphere of Mars and other Planets. European Planetary Science Congress. 1 indexed citations
16.
Scheike, Thomas, Torben Martinussen, & Jeremy D. Silver. (2009). Estimating Haplotype Effects for Survival Data. Biometrics. 66(3). 705–715. 13 indexed citations
17.
Silver, Jeremy D., Matthew E. Ritchie, & Gordon K. Smyth. (2008). Microarray background correction: maximum likelihood estimation for the normal-exponential convolution. Biostatistics. 10(2). 352–363. 137 indexed citations
18.
Thomson, Russell, Stephen Quinn, James McKay, et al.. (2007). The advantages of dense marker sets for linkage analysis with very large families. Human Genetics. 121(3-4). 459–468. 2 indexed citations
19.
Hildebrand, Michael S., M. De Silva, Tiong Yang Tan, et al.. (2007). Molecular characterization of a novel X‐linked syndrome involving developmental delay and deafness. American Journal of Medical Genetics Part A. 143A(21). 2564–2575. 13 indexed citations
20.
Wormald, Samuel, Jian‐Guo Zhang, Danielle L. Krebs, et al.. (2006). The Comparative Roles of Suppressor of Cytokine Signaling-1 and -3 in the Inhibition and Desensitization of Cytokine Signaling. Journal of Biological Chemistry. 281(16). 11135–11143. 101 indexed citations

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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