Tony E. Wong

3.7k citations
53 papers · 1.9k indexed · h-index 19

Impact in

Papers in

Tony E. Wong

52 papers receiving 1.9k citations

Peers

Tony E. Wong
Comparison fields: 5 of 151
  • Cellular and Molecular Neuroscience 666
  • Atmospheric Science 558
  • Geochemistry and Petrology 129
  • Global and Planetary Change 453
  • Developmental Neuroscience 63
Replace Stefan Gerber with:
Stefan Gerber United States
Stephen C. Phillips Australia
Magnus Ivarsson Sweden
Mats Rundgren Sweden
Masanori Kaneko Japan
Jingping Zhang China
Tateki Fujiwara Japan
Suping Wang China
Elena Turco United States
Richard G. Williams United Kingdom
Tony E. Wong relative to Stefan Gerber United States Stefan Gerber's profile →
Citations per field
00.5×3.9×
Stefan Gerber · 1×
Citations per year

Countries citing papers authored by Tony E. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Tony E. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony E. Wong. 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 Tony E. Wong. The network helps show where Tony E. Wong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 202237
4 202110
5 2019152
6
Quantifying different climatic controls on d-excess and 17 O-excess in Antarctic ice cores with the isotope-enabled Community Atmosphere Model (iCAM)
20191
7 201866
8 201724
9 20175
10 20179
11 201751
12 201732
13 20007
14 20006
15 200012
16 19989
17 1995262
18 199455
19 199243
20 19927

About Tony E. Wong

Tony E. Wong is a scholar working on Geochemistry and Petrology, Atmospheric Science, Global and Planetary Change, Oceanography and Modeling and Simulation, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Climate variability and models (16 papers), Neuroscience and Neuropharmacology Research (7 papers), Groundwater and Isotope Geochemistry (6 papers), Geology and Paleoclimatology Research (6 papers), Hydrology and Watershed Management Studies (5 papers), Cryospheric studies and observations (5 papers), Geophysics and Gravity Measurements (5 papers) and Meteorological Phenomena and Simulations (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (666 citations), Atmospheric Science (558 citations), Geochemistry and Petrology (129 citations), Global and Planetary Change (453 citations) and Developmental Neuroscience (63 citations). Tony E. Wong has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Emmanuel M. Landau, Robert D. Blitzer, Ravi Iyengar, David Noone, Jesse Nusbaumer, Shirish Shenolikar, George P. Brown, John H. Connor, Klaus Keller and Bette L. Otto‐Bliesner. Their work appears in journals such as Earth s Future, PLoS ONE, Journal of Advances in Modeling Earth Systems, Geophysical Research Letters and Infectious Disease Modelling.

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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