Jeffrey P. Chang

1.5k total citations
46 papers, 1.1k citations indexed

About

Jeffrey P. Chang is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Jeffrey P. Chang has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Cell Biology and 6 papers in Oncology. Recurrent topics in Jeffrey P. Chang's work include Drug Transport and Resistance Mechanisms (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Jeffrey P. Chang is often cited by papers focused on Drug Transport and Resistance Mechanisms (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Jeffrey P. Chang collaborates with scholars based in United States, Taiwan and Japan. Jeffrey P. Chang's co-authors include Manish K. Aghi, Kan Lu, David Meyronet, Christine A. Parachoniak, Joanna J. Phillips, Gabriele Bergers, David A. Cheresh, Shaun D. Fouse, Morag Park and David F. Smith and has published in prestigious journals such as Science, JNCI Journal of the National Cancer Institute and Cancer Cell.

In The Last Decade

Jeffrey P. Chang

44 papers receiving 1.0k citations

Peers

Jeffrey P. Chang
Comparison fields: 5 of 111
  • Molecular Biology 594
  • Cancer Research 214
  • Genetics 178
  • Oncology 174
  • Cell Biology 172
Replace G. Levan with:
G. Levan Sweden
Tohru Okigaki Japan
Josette Badet France
Mati Shaklai Israel
Y Yazaki Japan
Ashley Martin United Kingdom
Karen L. Wion United Kingdom
Jukka Hellman Finland
Anne‐Catherine Andres Switzerland
A. J. Yates United States
G. Levan Sweden View profile →
Citations per field, relative to Jeffrey P. Chang
Jeffrey P. Chang · 1×
Citations per year, relative to Jeffrey P. Chang
Jeffrey P. Chang · 1×

Countries citing papers authored by Jeffrey P. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey P. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey P. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey P. Chang. A scholar is included among the top collaborators of Jeffrey P. Chang 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 Jeffrey P. Chang. Jeffrey P. Chang 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
# Work Indexed citations
1 5
2 1
3 14
4 425
5 64
6 4
7
Cytochemical and ultrastructural changes in aflatoxin-induced injury to rat liver cells.
0
8 4
9 6
10 2
11 21
12 43
13 13
14
ESTROGEN-INDUCED KIDNEY TUMORS IN THE GOLDEN HAMSTER. II. DIETHYLSTILBESTROL ABSORPTION AND DISTRIBUTION IN TISSUES.
7
15 26
16 7
17 5
18 2
19 1
20 3

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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