L. Crawford

5.5k citations
67 papers · 4.6k indexed · 1 hit paper · h-index 33

Impact in

  • Oncology top 1%
    • Cancer-related Molecular Pathways
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies

Papers in

    • Virus-based gene therapy research 39
    • Cervical Cancer and HPV Research 34
    • Hepatitis B Virus Studies 7

L. Crawford

65 papers receiving 4.4k citations

Hit Papers

Isolation of human‐p53‐specific monoclonal antibodies and their use in the studies of human p53 expression 1986 · 484 citations
4841986202619992012100200300400

Peers

L. Crawford
Comparison fields: 5 of 101
  • Oncology 2.0k
  • Epidemiology 2.1k
  • Genetics 1.3k
  • Biotechnology 403
  • Virology 205
Replace Carole Yee with:
Carole Yee United States
D. Pim Italy
Bruce A. Werness United States
Miranda Thomas Italy
G W Demers United States
N L Hubbert United States
Martin J. Allday United Kingdom
Elliot J. Androphy United States
Kei Fujinaga Japan
L.V. Crawford United Kingdom
L. Crawford relative to Carole Yee United States Carole Yee's profile →
Citations per field
00.5×3.4×
Carole Yee · 1×
Citations per year

Countries citing papers authored by L. Crawford

Since Specialization
Citations

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

Fields of papers citing papers by L. Crawford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199729
2 1995131
3 1995113
4 199532
5 199520
6 199532
7 199411
8 199449
9 199460
10 199432
11 19939
12 199221
13 1991214
14 199164
15 199034
16 198925
17 19893
18 198874
19 198838
20 198727

About L. Crawford

L. Crawford is a scholar working on Genetics, Epidemiology, Biotechnology, Oncology and Virology, having authored 67 papers that have together received 4.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (39 papers), Cervical Cancer and HPV Research (34 papers), Cancer-related Molecular Pathways (20 papers), Cancer Research and Treatments (9 papers), Molecular Biology Techniques and Applications (7 papers), Immunotherapy and Immune Responses (7 papers), Hepatitis B Virus Studies (7 papers) and T-cell and Retrovirus Studies (4 papers). The work is most often cited by research in Oncology (2.0k citations), Epidemiology (2.1k citations), Genetics (1.3k citations), Biotechnology (403 citations) and Virology (205 citations). L. Crawford has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Lawrence Banks, Greg Matlashewski, Peter Lamb, D. Pim, Anne M. Murray, Massimo Tommasino, Alan Storey, K. Osborn, Tim Crook and Samuel Benchimol. Their work appears in journals such as Journal of General Virology, The EMBO Journal, Virology, Molecular and Cellular Biology and European Journal of Biochemistry.

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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