Mark T. Yates

879 citations
19 papers · 731 indexed · h-index 13

Impact in

    • Antioxidant Activity and Oxidative Stress
  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Antioxidant Activity and Oxidative Stress 5
    • Lipid metabolism and biosynthesis 2
    • Multiple Myeloma Research and Treatments 2

Mark T. Yates

19 papers receiving 672 citations

Peers

Mark T. Yates
Comparison fields: 5 of 73
  • Biochemistry 163
  • Hematology 145
  • Biochemistry 69
  • Nutrition and Dietetics 98
  • Cancer Research 94
Replace H. A. Dresel with:
H. A. Dresel Germany
Rit Vatsyayan United States
Susumu Tsushima Japan
Parvathy Sasikumar United Kingdom
Thomas Heinemann Germany
J. Polonovski France
Gunilla Bengtsson Sweden
Ieharu Hishinuma Japan
Verónica Quiñones Chile
T Nishida Japan
Mark T. Yates relative to H. A. Dresel Germany H. A. Dresel's profile →
Citations per field
00.5×9.1×
H. A. Dresel · 1×
Citations per year

Countries citing papers authored by Mark T. Yates

Since Specialization
Citations

This map shows the geographic impact of Mark T. Yates'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 T. Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Yates more than expected).

Fields of papers citing papers by Mark T. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Mark T. Yates, 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 T. Yates Line = papers co-authored together Mark T. Yates links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 19962
2 199421
3 1994126
4 199292
5 199186
6 199115
7 199188
8 199010
9 199041
10 19896
11 19895
12 1988110
13 198814
14 198812
15 198812
16 19872
17 198720
18 198748
19 198721

About Mark T. Yates

Mark T. Yates is a scholar working on Biochemistry, Biochemistry, Hematology, Cancer Research and Pharmacology, having authored 19 papers that have together received 731 indexed citations. Recurring topics across this work include Antioxidant Activity and Oxidative Stress (5 papers), Leech Biology and Applications (4 papers), Venomous Animal Envenomation and Studies (4 papers), Heparin-Induced Thrombocytopenia and Thrombosis (3 papers), Peptidase Inhibition and Analysis (3 papers), Chemical Synthesis and Analysis (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Biochemistry (163 citations), Hematology (145 citations), Biochemistry (69 citations), Nutrition and Dietetics (98 citations) and Cancer Research (94 citations). Mark T. Yates has collaborated with scholars based in United States and Canada. Frequent co-authors include Simon J.T. Mao, John L. Krstenansky, Richard L. Jackson, Thomas J. Owen, Shuqi Mao, Richard Parker, Gary A. Martin, Roger L. Barnhart, S J Busch and S.J. Mao. Their work appears in journals such as Journal of Medicinal Chemistry, FEBS Letters, Thrombosis Research, Analytical Biochemistry and Advances in experimental medicine and 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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