David Chang

18.1k total citations · 4 hit papers
84 papers, 9.6k citations indexed

About

David Chang is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, David Chang has authored 84 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 18 papers in Oncology and 9 papers in Cell Biology. Recurrent topics in David Chang's work include RNA and protein synthesis mechanisms (18 papers), Mitochondrial Function and Pathology (15 papers) and RNA modifications and cancer (10 papers). David Chang is often cited by papers focused on RNA and protein synthesis mechanisms (18 papers), Mitochondrial Function and Pathology (15 papers) and RNA modifications and cancer (10 papers). David Chang collaborates with scholars based in United States, Canada and Italy. David Chang's co-authors include David A. Clayton, Phillip A. Sharp, Marc Peeters, Rafael G. Amado, Scott D. Patterson, Robert Sikorski, Todd Juan, Robert Radinsky, Sid Suggs and Michael Wolf and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

David Chang

82 papers receiving 9.4k citations

Hit Papers

Wild-Type KRAS Is Required for Panitumuma... 1989 2026 2001 2013 2008 1998 2002 1989 500 1000 1.5k 2.0k

Peers

David Chang
Comparison fields: 5 of 160
  • Molecular Biology 5.5k
  • Oncology 3.1k
  • Cancer Research 1.2k
  • Pulmonary and Respiratory Medicine 1.1k
  • Pathology and Forensic Medicine 1.1k
Replace Scott D. Patterson with:
Scott D. Patterson United States
Dan Mercola United States
David A. Fishman United States
Lewis B. Silverman United States
Nicolás André France
Steven de Jong Netherlands
Maryla Krajewska United States
Rakesh Kumar United States
Éva Szabó United States
Iver Petersen Germany
Scott D. Patterson United States View profile →
Citations per field, relative to David Chang
David Chang · 1×
Citations per year, relative to David Chang
David Chang · 1×

Countries citing papers authored by David Chang

Since Specialization
Citations

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

Fields of papers citing papers by David Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Chang

This figure shows the co-authorship network connecting the top 25 collaborators of David Chang. A scholar is included among the top collaborators of David 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 David Chang. David 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 1
2 0
3 13
4 18
5 12
6 35
7 22
8 20
9 21
10 36
11 64
12
Wild-Type KRAS Is Required for Panitumumab Efficacy in Patients With Metastatic Colorectal Cancer breakdown →
2400
13 152
14
Leveraging Latent Information In NMR For Robust Predictive Models.
5
15 41
16 7
17 27
18 26
19 18
20 10

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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2026