Albert Chang

2.3k citations
25 papers · 1.9k · h-index 21

Impact in

Papers in

Albert Chang

25 papers receiving 1.9k citations

Peers

Albert Chang
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 1.0k
  • Genetics 506
  • Hematology 231
  • Physiology 521
  • Molecular Biology 1.1k
Replace Donald C. Manning with:
Donald C. Manning United States
Guy Drapeau Canada
Gene M. Williams United States
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Patrick E. Ward United States
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Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Albert Chang

Since Specialization
Citations

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

Fields of papers citing papers by Albert Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999261
2 1999176
3 2000170
4 2001163
5 1997121
6 1997107
7 200095
8
Quantitative expression of the human kallikrein gene 9 (KLK9) in ovarian cancer: a new independent and favorable prognostic marker.
200189
9 200077
10
Cloning of a new member of the human kallikrein gene family, KLK14, which is down-regulated in different malignancies.
200175
11 199773
12 199771
13 200161
14 200253
15 200253
16 200353
17 199846
18
Identification and molecular characterization of five novel kallikrein gene 13 (KLK13; KLK-L4) splice variants: differential expression in the human testis and testicular cancer.
200238
19 199830
20 200329

About Albert Chang

Albert Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Physiology and Hematology, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Receptor Mechanisms and Signaling (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), Pain Mechanisms and Treatments (6 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Peptidase Inhibition and Analysis (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Genetics (506 citations), Hematology (231 citations), Physiology (521 citations) and Molecular Biology (1.1k citations). Albert Chang has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Gavril W. Pasternak, Michael A. King, Eleftherios P. Diamandis, George M. Yousef, Grace C. Rossi, Andreas Scorilas, Elizabeth Bolan, Amy Zuckerman, Jin Xu and Ying‐Xian Pan. Their work appears in journals such as European Journal of Pharmacology, British Journal of Cancer, FEBS Letters, Nature Neuroscience and Molecular Pharmacology.

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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