Mark F. van Delft

6.9k citations
30 papers · 4.2k indexed · 3 hit papers · h-index 18
Topics
Cell death mechanisms and regulation (16 papers)RNA Interference and Gene Delivery (6 papers)Ubiquitin and proteasome pathways (5 papers)

In The Last Decade

Mark F. van Delft

30 papers receiving 4.2k citations

Hit Papers

The BH3 mimetic ABT-737 targets selective Bcl-2 proteins ...20062026201220192006200720142505007501000

Peers

Mark F. van Delft
Comparison fields: 5 of 110
  • Molecular Biology 3.4k
  • Immunology 1.1k
  • Oncology 890
  • Epidemiology 464
  • Cancer Research 306
Replace Erinna F. Lee with:
Erinna F. Lee Australia
Debra T. Chao United States
Irmela Jeremias Germany
Dayong Zhai United States
Kate Welsh United States
Liam O’Connor Australia
Angelita Rebollo France
Laurence Dubrez France
Eric C. LaCasse Canada
James W. Jacobberger United States
Mark F. van Delft relative to Erinna F. Lee Australia Erinna F. Lee's profile →
Citations per field
00.5×1.5×
Erinna F. Lee · 1×
Citations per year

Countries citing papers authored by Mark F. van Delft

Since Specialization
Citations

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

Fields of papers citing papers by Mark F. van Delft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark F. van Delft

This figure shows the co-authorship network connecting the top 25 collaborators of Mark F. van Delft. A scholar is included among the top collaborators of Mark F. van Delft based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark F. van Delft. Mark F. van Delft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 12
4 14
5 45
6 21
7 33
8 11
9 52
10 131
11 37
12 33
13 112
14
Apoptosis Initiated When BH3 Ligands Engage Multiple Bcl-2 Homologs, Not Bax or Bakbreakdown →
883
15 282
16
The BH3 mimetic ABT-737 targets selective Bcl-2 proteins and efficiently induces apoptosis via Bak/Bax if Mcl-1 is neutralizedbreakdown →
1008
17 34
18 84
19 88
20 38

About Mark F. van Delft

Mark F. van Delft is a scholar working on Molecular Biology, Hematology and Immunology, having authored 30 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (16 papers), RNA Interference and Gene Delivery (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Immunology (1.1k citations), Molecular Biology (3.4k citations) and Oncology (890 citations). Mark F. van Delft has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include David C.S. Huang, Peter E. Czabotar, Jerry M. Adams, Simon N. Willis, W. Douglas Fairlie, Erinna F. Lee, Catherine L. Day, Andreas Strasser, Philippe Bouillet and Cassandra J. Vandenberg. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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