Tim Clackson

16.7k citations
105 papers · 10.1k · 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

103 papers receiving 9.6k citations

Tim Clackson's Hit Papers

Ponatinib in Refractory Philadelphia Chromosome–Positive Leukemias 2012 · 559 citations
5590+11+23Years since publication50010001.5k

Peers

Tim Clackson
Comparison fields: 5 of 152
  • Hematology 1.3k
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Molecular Biology 6.4k
  • Genetics 811
  • Oncology 1.7k
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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 105 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 →
19951695
2
Making antibody fragments using phage display libraries
Hit paper breakdown →
1991988
3
Ponatinib in Refractory Philadelphia Chromosome–Positive Leukemias
Hit paper breakdown →
2012559
4 1996461
5 1998452
6
By–Passing Immunization: Building High Affinity Human Antibodies by Chain Shuffling
Hit paper breakdown →
1992339
7 1989293
8 2012283
9 2000280
10 1998246
11 2004235
12 1995233
13 2010227
14 1994209
15 2011204
16 1997184
17 2004162
18 2000145
19 2014128
20 2018115

About Tim Clackson

Tim Clackson is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Genetics, having authored 105 papers that have together received 10.1k 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 (2.1k citations), Molecular Biology (6.4k citations), Genetics (811 citations) and Oncology (1.7k 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, Cancer Research, Journal of Clinical Oncology, Molecular Therapy and Molecular Cancer Therapeutics.

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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