David Krige

1.5k citations
33 papers · 1.2k · h-index 13

Impact in

Papers in

    • CAR-T cell therapy research 10
    • Peptidase Inhibition and Analysis 7
    • Cancer Immunotherapy and Biomarkers 5
    • Histone Deacetylase Inhibitors Research 5
    • Mitochondrial Function and Pathology 5

David Krige

32 papers receiving 1.1k citations

Peers

David Krige
Comparison fields: 5 of 77
  • Neurology 410
  • Cellular and Molecular Neuroscience 313
  • Clinical Biochemistry 109
  • Neurology 117
  • Molecular Biology 657
Replace Kristina Klupsch with:
Kristina Klupsch United Kingdom
Jin‐Mi Heo United States
Agne Kazlauskaite United Kingdom
Chandana Kondapalli United Kingdom
Brett A. McCray United States
Brigit E. Riley United States
Fumika Koyano Japan
Zheng Ying China
Hirotake Kitaura Japan
Hidehito Yoshihara Japan
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Citations per field
00.5×3.6×
Kristina Klupsch · 1×
Citations per year

Countries citing papers authored by David Krige

Since Specialization
Citations

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

Fields of papers citing papers by David Krige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992322
2 1992306
3 2011100
4 199459
5 200945
6 202141
7 200440
8 201639
9 202336
10 201235
11 199233
12 201529
13 201017
14 201311
15 199210
16 20228
17 20197
18
Safety, efficacy and biology of the gp100 TCR-based bispecific T cell redirector IMCgp100 in advanced uveal melanoma
20176
19 19976
20 20155

About David Krige

David Krige is a scholar working on Oncology, Molecular Biology, Biotechnology, Genetics and Cancer Research, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Cancer Research and Treatments (8 papers), Peptidase Inhibition and Analysis (7 papers), Virus-based gene therapy research (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Mitochondrial Function and Pathology (5 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Neurology (410 citations), Cellular and Molecular Neuroscience (313 citations), Clinical Biochemistry (109 citations), Neurology (117 citations) and Molecular Biology (657 citations). David Krige has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Anthony H.V. Schapira, Jonathan M. Cooper, C. D. Marsden, V. M. Mann, S. E. Daniel, Deborah H. Brotherton, Scott Cuthill, August Vidal, Shetal Patel and J Owen. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Blood and Journal for ImmunoTherapy of Cancer.

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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