Matthew J. Wyvratt

7.2k citations
116 papers · 3.9k indexed · h-index 34

Matthew J. Wyvratt

115 papers receiving 3.7k citations

Peers

Matthew J. Wyvratt
Comparison fields: 5 of 116
  • Endocrine and Autonomic Systems 724
  • Organic Chemistry 1.5k
  • Endocrinology, Diabetes and Metabolism 717
  • Reproductive Medicine 198
  • Nutrition and Dietetics 356
Replace Arthur A. Patchett with:
Arthur A. Patchett United States
Paolo Grieco Italy
Gerald W. Becker United States
Matthias U. Kassack Germany
Erich Wünsch Germany
Judith Storch United States
Carlos Davio Argentina
Charles A. Nichol United States
Peter T. Meinke United States
Illarion V. Turko United States
Matthew J. Wyvratt relative to Arthur A. Patchett United States Arthur A. Patchett's profile →
Citations per field
00.5×1.5×1.9×
Arthur A. Patchett · 1×
Citations per year

Countries citing papers authored by Matthew J. Wyvratt

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Wyvratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Wyvratt. 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 Matthew J. Wyvratt. The network helps show where Matthew J. Wyvratt may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200814
2 20088
3 200735
4 20059
5 200511
6 200515
7 200418
8 200232
9 200116
10 200017
11 200017
12 200018
13 200015
14 199941
15 19998
16 199937
17 19993
18 199949
19 199827
20 1992223

About Matthew J. Wyvratt

Matthew J. Wyvratt is a scholar working on Animal Science and Zoology, Organic Chemistry and Small Animals, having authored 116 papers that have together received 3.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (18 papers), Receptor Mechanisms and Signaling (16 papers), Synthesis and Biological Evaluation (14 papers), Pharmacological Effects and Assays (14 papers), Signaling Pathways in Disease (14 papers), Adipose Tissue and Metabolism (12 papers), Synthetic Organic Chemistry Methods (10 papers) and Coccidia and coccidiosis research (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (724 citations), Organic Chemistry (1.5k citations) and Endocrinology, Diabetes and Metabolism (717 citations). Matthew J. Wyvratt has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael H. Fisher, Arthur A. Patchett, Roy G. Smith, Gerard J. Hickey, Kang Cheng, Mark T. Goulet, Leo A. Paquette, Robert J. DeVita, William R. Schoen and M. H. Fisher. Their work appears in journals such as Science, Journal of the American Chemical Society and The Journal of Experimental Medicine.

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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