Mark Jackman

2.9k citations
20 papers · 2.4k indexed · h-index 14
  • Cell Biology top 0.5%
    • Cellular transport and secretion 6
    • Microtubule and mitosis dynamics 6
    • Nuclear Structure and Function 4
    • DNA Repair Mechanisms 3
    • Retinal Development and Disorders 2
  • Oncology top 5%
    • Cancer-related Molecular Pathways 5
  • Physiology top 10%
    • Pancreatic function and diabetes 3
    • Toxin Mechanisms and Immunotoxins 3

Mark Jackman

19 papers receiving 2.4k citations

Peers

Mark Jackman
Comparison fields: 5 of 102
  • Cell Biology 1.3k
  • Molecular Biology 1.9k
  • Oncology 722
  • Aging 18
  • Physiology 38
Replace Darerca Owen with:
Darerca Owen United Kingdom
Patrizia Lavia Italy
Mark H. Watson United States
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Mark Jackman relative to Darerca Owen United Kingdom Darerca Owen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Jackman

Since Specialization
Citations

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

Fields of papers citing papers by Mark Jackman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202041
2
Motorcycle safety through smart technology
20141
3 200585
4 2003481
5 200387
6 2002132
7 19995
8 1999205
9 19992
10 1998129
11 1998256
12 1998282
13 19985
14 1997267
15
Cyclins and the G2/M transition.
199773
16 1995231
17 1994112
18 19928
19 199224
20
Corsini, R.J. & Wedding, D. (1989). Current Psychotherapies, 4th ed.
19902

About Mark Jackman

Mark Jackman is a scholar working on Cell Biology, Biotechnology and Physiology, having authored 20 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Microtubule and mitosis dynamics (6 papers), Cancer-related Molecular Pathways (5 papers), Nuclear Structure and Function (4 papers), DNA Repair Mechanisms (3 papers), Pancreatic function and diabetes (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (1.9k citations) and Oncology (722 citations). Mark Jackman has collaborated with scholars based in United Kingdom, Japan and Germany. Frequent co-authors include Jonathon Pines, Anja Hagting, Erich A. Nigg, Catherine Lindon, Ronald A. Laskey, Torsten Krude, Christina Karlsson, K L Simpson, J. Paul Luzio and Juliet A. Ellis. Their work appears in journals such as Biochemical Journal, The Journal of Cell Biology, Cell, The EMBO Journal and Current Biology.

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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