Mark Tizard

4.5k citations
73 papers · 3.8k · h-index 33

Impact in

Papers in

    • CRISPR and Genetic Engineering 19
    • RNA Interference and Gene Delivery 11
    • Mycobacterium research and diagnosis 23

Mark Tizard

73 papers receiving 3.6k citations

Peers

Mark Tizard
Comparison fields: 5 of 133
  • Small Animals 519
  • Epidemiology 1.8k
  • Infectious Diseases 811
  • Pharmacology 266
  • Cancer Research 408
Replace Kazuhiko Ohashi with:
Kazuhiko Ohashi Japan
Hong Yin China
Franco Mutinelli Italy
Armand Sánchez Spain
Satoru Konnai Japan
Philippa M. Beard United Kingdom
Jason Mulvenna Australia
Shigetoshi Eda United States
Arnaldo Zaha Brazil
Franco Roperto Italy
Mark Tizard relative to Kazuhiko Ohashi Japan Kazuhiko Ohashi's profile →
Citations per field
00.5×2×3×3.7×
Kazuhiko Ohashi · 1×
Citations per year

Countries citing papers authored by Mark Tizard

Since Specialization
Citations

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

Fields of papers citing papers by Mark Tizard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989418
2 1992297
3 2008278
4 1985258
5 1996241
6 1992159
7 1997133
8 2000118
9 199597
10 200991
11 199276
12 201773
13 199169
14 200667
15 200566
16 201265
17 201862
18 199258
19 201157
20 201256

About Mark Tizard

Mark Tizard is a scholar working on Molecular Biology, Epidemiology, Genetics, Infectious Diseases and Plant Science, having authored 73 papers that have together received 3.8k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (23 papers), CRISPR and Genetic Engineering (19 papers), Animal Genetics and Reproduction (17 papers), Tuberculosis Research and Epidemiology (14 papers), RNA Interference and Gene Delivery (11 papers), MicroRNA in disease regulation (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Small Animals (519 citations), Epidemiology (1.8k citations), Infectious Diseases (811 citations), Pharmacology (266 citations) and Cancer Research (408 citations). Mark Tizard has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John Hermon-Taylor, M. Moss, Jeremy Sanderson, Timothy J. Doran, Robert J. Moore, Douglas Millar, J. Thompson, Johnjoe McFadden, David J. Winterbourne and F A el-Zaatari. Their work appears in journals such as Transgenic Research, Microbiology, Veterinary Microbiology, Biology of Reproduction and Gut.

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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