Clara Chang

462 citations
14 papers · 165 · h-index 6

Impact in

  • Paleontology top 10%
    • Paleontology and Stratigraphy of Fossils
    • Paleontology and Evolutionary Biology
    • Evolution and Paleontology Studies
    • Coastal and Marine Dynamics

Papers in

    • Evolution and Paleontology Studies 4
    • Paleontology and Evolutionary Biology 4
    • Coastal wetland ecosystem dynamics 4
    • Isotope Analysis in Ecology 2

Clara Chang

13 papers receiving 152 citations

Peers

Clara Chang
Comparison fields: 5 of 47
  • Paleontology 46
  • Earth-Surface Processes 39
  • Public Administration 17
  • Ecology 60
  • Radiological and Ultrasound Technology 10
Replace T. Sato with:
T. Sato Japan
Édouard Bard France
A. Ganopolski Germany
Marnix Pieters Belgium
Lise Missiaen France
David B. Nagle United States
Ignacio Jara Chile
Jaafar Jotheri Iraq
Polina Vakhrameeva Germany
Yoann Fagault France
Clara Chang relative to T. Sato Japan T. Sato's profile →
Citations per field
00.5×12×
T. Sato · 1×
Citations per year

Countries citing papers authored by Clara Chang

Since Specialization
Citations

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

Fields of papers citing papers by Clara Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201850
2 202232
3
Union Membership Statistics in 12 Countries.
199132
4 201917
5 202010
6 20239
7 20235
8 20233
9 20243
10 20231
11 20241
12 20201
13 20191
14 20250

About Clara Chang

Clara Chang is a scholar working on Paleontology, Ecology, Geophysics, Atmospheric Science and Earth-Surface Processes, having authored 14 papers that have together received 165 indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (4 papers), Paleontology and Evolutionary Biology (4 papers), Coastal wetland ecosystem dynamics (4 papers), Geological and Geochemical Analysis (3 papers), Geology and Paleoclimatology Research (3 papers), Isotope Analysis in Ecology (2 papers), Coastal and Marine Dynamics (2 papers) and Ichthyology and Marine Biology (2 papers). The work is most often cited by research in Paleontology (46 citations), Earth-Surface Processes (39 citations), Public Administration (17 citations), Ecology (60 citations) and Radiological and Ultrasound Technology (10 citations). Clara Chang has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Constance Sorrentino, T. C. Kenna, D. M. Peteet, J. E. Nichols, Jingeng Sha, Louisa M. Liberman, Paul E. Olsen, Yanan Fang, Jessica H. Whiteside and Vivi Vajda. Their work appears in journals such as Geological Society London Special Publications, Proceedings of the National Academy of Sciences, Environmental Research Letters, Monthly labor review and The Science of The Total 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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