Chris Black

1.2k citations
13 papers · 954 · h-index 12

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Cholinesterase and Neurodegenerative Diseases
  • Genetics top 10%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema

Papers in

    • RNA modifications and cancer 2
    • RNA Interference and Gene Delivery 2
    • Advanced biosensing and bioanalysis techniques 1
    • Drug-Induced Hepatotoxicity and Protection 4
    • Pharmacological Effects of Medicinal Plants 1

Chris Black

13 papers receiving 941 citations

Peers

Chris Black
Comparison fields: 5 of 77
  • Pharmacology 194
  • Pharmacology 231
  • Genetics 125
  • Internal Medicine 41
  • Hematology 111
Replace Da-Yun Jin with:
Da-Yun Jin United States
Yoshimi Imura Japan
Serena Marchetti Netherlands
Baojin Hua China
Karin Brecht Switzerland
Johan Beetens Belgium
Guoqing Gong China
Zhouling Xie China
Jeremy Mills United Kingdom
Chris Black relative to Da-Yun Jin United States Da-Yun Jin's profile →
Citations per field
00.5×3.9×
Da-Yun Jin · 1×
Citations per year

Countries citing papers authored by Chris Black

Since Specialization
Citations

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

Fields of papers citing papers by Chris Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2006232
2 2006203
3 2010161
4 201169
5 201056
6 200856
7 199951
8 201236
9 201625
10 201022
11 201819
12 201217
13 20047

About Chris Black

Chris Black is a scholar working on Molecular Biology, Pharmacology, Oncology, Pharmacology and Epidemiology, having authored 13 papers that have together received 954 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (4 papers), Drug Transport and Resistance Mechanisms (3 papers), RNA modifications and cancer (2 papers), RNA Interference and Gene Delivery (2 papers), Pharmacological Effects of Medicinal Plants (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Nerve injury and regeneration (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Pharmacology (194 citations), Pharmacology (231 citations), Genetics (125 citations), Internal Medicine (41 citations) and Hematology (111 citations). Chris Black has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Deshi Shi, Dongfang Yang, Bingfang Yan, Jian Yang, Edward L. LeCluyse, Fatemeh Akhlaghi, You Li, Man Tang, Jasminder Sahi and Kishore K. Khan. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Lipid Research, Blood, FEBS Letters and Molecular Therapy — Nucleic Acids.

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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