Tim Clackson

16.7k citations
103 papers · 9.6k · 4 hit papers · h-index 44

Impact in

Papers in

    • RNA Interference and Gene Delivery 14
    • CRISPR and Genetic Engineering 10
    • Chronic Myeloid Leukemia Treatments 30

Tim Clackson

101 papers receiving 9.2k citations

Tim Clackson's Hit Papers

Ponatinib in Refractory Philadelphia Chromosome–Positive Leukemias 2012 · 531 citations
5310+11+23Years since publication50010001.5k

Peers

Tim Clackson
Comparison fields: 5 of 152
  • Hematology 1.3k
  • Radiology, Nuclear Medicine and Imaging 1.9k
  • Molecular Biology 6.1k
  • Genetics 766
  • Oncology 1.6k
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Citations per field
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Citations per year

Countries citing papers authored by Tim Clackson

Since Specialization
Citations

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

Fields of papers citing papers by Tim Clackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Hot Spot of Binding Energy in a Hormone-Receptor Interface
Hit paper breakdown →
19951609
2
Making antibody fragments using phage display libraries
Hit paper breakdown →
1991932
3
Ponatinib in Refractory Philadelphia Chromosome–Positive Leukemias
Hit paper breakdown →
2012531
4 1998444
5 1996437
6
By–Passing Immunization: Building High Affinity Human Antibodies by Chain Shuffling
Hit paper breakdown →
1992314
7 1989289
8 2012275
9 2000271
10 1998233
11 2004226
12 2010215
13 1995211
14 1994201
15 2011197
16 1997182
17 2004152
18 2000138
19 2014125
20 2000113

About Tim Clackson

Tim Clackson is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Genetics, having authored 103 papers that have together received 9.6k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (30 papers), Virus-based gene therapy research (25 papers), Chronic Lymphocytic Leukemia Research (25 papers), RNA Interference and Gene Delivery (14 papers), Lung Cancer Treatments and Mutations (13 papers), CAR-T cell therapy research (12 papers), Acute Lymphoblastic Leukemia research (10 papers) and CRISPR and Genetic Engineering (10 papers). The work is most often cited by research in Hematology (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations), Molecular Biology (6.1k citations), Genetics (766 citations) and Oncology (1.6k citations). Tim Clackson has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James A. Wells, Victor M. Rivera, Greg Winter, Andrew D. Griffiths, Hennie R. Hoogenboom, Roy M. Pollock, Michael Gilman, Dennis A. Holt, Narayana I. Narasimhan and Terence P. Keenan. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Research, Molecular Therapy and Proceedings of the National Academy of Sciences.

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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