Mark Whittaker

107 papers receiving 4.1k citations

Hit Papers

Design and Therapeutic Application of Matrix Metalloproteinase Inhibitors 1999 · 851 citations
8510+9+18Years since publication250500750

Peers

Mark Whittaker
Comparison fields: 5 of 149
  • Cancer Research 945
  • Organic Chemistry 1.4k
  • Oncology 1.2k
  • Molecular Biology 1.9k
  • Computational Theory and Mathematics 384
Replace Hideaki Nakamura with:
Hideaki Nakamura Japan
Franco Zunino Italy
Shao‐Chun Wang United States
Haichao Zhang United States
Pengyu Yang China
Xuan Huang China
Lihong Shi China
Takashi Satoh Japan
Jingwen Liu China
Chang Hoon Lee South Korea
Mark Whittaker relative to Hideaki Nakamura Japan Hideaki Nakamura's profile →
Citations per field
00.5×8.3×
Hideaki Nakamura · 1×
Citations per year

Countries citing papers authored by Mark Whittaker

Since Specialization
Citations

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

Fields of papers citing papers by Mark Whittaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Design and Therapeutic Application of Matrix Metalloproteinase Inhibitors
Hit paper breakdown →
1999851
2 1996232
3 2001188
4 1999181
5 2014151
6 2006121
7 1998116
8 2015111
9 201196
10 199688
11 200387
12 200879
13 201168
14 201368
15 199467
16 201262
17 200458
18 200158
19 201655
20 201053

About Mark Whittaker

Mark Whittaker is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Cancer Research and Inorganic Chemistry, having authored 107 papers that have together received 4.3k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (16 papers), Protease and Inhibitor Mechanisms (14 papers), Chemical Synthesis and Analysis (11 papers), Receptor Mechanisms and Signaling (10 papers), Asymmetric Hydrogenation and Catalysis (10 papers), Computational Drug Discovery Methods (10 papers), Metal-Catalyzed Oxygenation Mechanisms (9 papers) and Concrete and Cement Materials Research (9 papers). The work is most often cited by research in Cancer Research (945 citations), Organic Chemistry (1.4k citations), Oncology (1.2k citations), Molecular Biology (1.9k citations) and Computational Theory and Mathematics (384 citations). Mark Whittaker has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Christopher D. Floyd, Peter de Nully Brown, A. J. H. Gearing, R. Paul Beckett, Leon Black, Heather Tye, Alan H. Drummond, Osamu Ichihara, Thomas Hesterkamp and Richard Law. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Cancer Research, Advances in Cement Research and Combinatorial Chemistry & High Throughput Screening.

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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