Kenneth Mace

2.1k citations
35 papers · 1.7k indexed · h-index 23

Impact in

Papers in

Kenneth Mace

32 papers receiving 1.6k citations

Peers

Kenneth Mace
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Surgery 635
  • Pharmacology 219
  • Gastroenterology 65
  • Immunology 169
Replace Shoji Kawazu with:
Shoji Kawazu Japan
Christian Friedrich Germany
Kevin J. Petty United States
Veneracion G. Cabana United States
Helle Linnebjerg United States
Jenny E. Kanter United States
Mario Maioli Italy
Martin Kömhoff Germany
Scott M. Gordon United States
C. Candelaresi Italy
Kenneth Mace relative to Shoji Kawazu Japan Shoji Kawazu's profile →
Citations per field
00.5×4.3×
Shoji Kawazu · 1×
Citations per year

Countries citing papers authored by Kenneth Mace

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Mace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Low Incidence of Anti-Drug Antibodies in Type 2 Diabetes Patients Treated with Once Weekly GLP-1 Receptor Agonist Dulaglutide: Incidence of anti-drug antibodies with dulaglutide
20161
2 20166
3 201434
4 201252
5 2012124
6 201224
7 2010117
8 200912
9 2008207
10 20087
11 200853
12 2007142
13 200730
14 200648
15 200553
16 200331
17 1995132
18 19946
19
Adriamycin-induced modulation of host defenses in tumor-bearing mice.
199252
20 19883

About Kenneth Mace

Kenneth Mace is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice, Gastroenterology, Genetics and Geriatrics and Gerontology, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (23 papers), Diabetes Management and Research (10 papers), Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Gastroesophageal reflux and treatments (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Surgery (635 citations), Pharmacology (219 citations), Gastroenterology (65 citations) and Immunology (169 citations). Kenneth Mace has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Helle Linnebjerg, Prajakti A. Kothare, Michael Trautmann, Soomin Park, Mark Fineman, Enrico Mihich, M. Jane Ehrke, David G. Parkes, Brenda Cirincione and Shobha Reddy. Their work appears in journals such as The Journal of Clinical Pharmacology, Diabetes Obesity and Metabolism, Clinical Pharmacology & Therapeutics, Regulatory Peptides and Diabetes Care.

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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