Kenneth Millar

21 papers receiving 630 citations

Peers

Kenneth Millar
Comparison fields: 5 of 95
  • Obstetrics and Gynecology 91
  • Immunology 207
  • Radiology, Nuclear Medicine and Imaging 203
  • Oncology 130
  • Cancer Research 60
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Edyta Paradowska Poland
Pamela Boyer United States
Kristina Hotakainen Finland
Mirosława Studzińska Poland
Dongxu Qiu China
Jianmin Zhang China
Takahiko Sakuma Japan
Agnieszka Jabłońska Poland
María Ruggiero Italy
Yongdong Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Kenneth Millar

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Millar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199791
2 199066
3 198965
4 199162
5 197855
6 197342
7 198940
8 196837
9 199433
10
Characteristics of the maternal lymphoid response of mice to paternal strain antigens induced by homologous pregnancy.
197631
11 199431
12 199227
13 198026
14 199525
15
Lymphocyte populations in peripheral blood during normal human pregnancy.
197725
16 201617
17 199510
18 19949
19 19916
20 19665

About Kenneth Millar

Kenneth Millar is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Organic Chemistry, having authored 22 papers that have together received 704 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Chemical Synthesis and Analysis (3 papers), Protease and Inhibitor Mechanisms (3 papers), Peptidase Inhibition and Analysis (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Click Chemistry and Applications (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Obstetrics and Gynecology (91 citations), Immunology (207 citations), Radiology, Nuclear Medicine and Imaging (203 citations), Oncology (130 citations) and Cancer Research (60 citations). Kenneth Millar has collaborated with scholars based in United Kingdom, Canada and New Zealand. Frequent co-authors include Malcolm G. Baines, Hugh F. Pross, Andrew T. Millican, Nigel R. A. Beeley, Byron A. Boyce, Mark Walker, David Parker, Graeme N. Smith, Karl J. Jankowski and Michael A. W. Eaton. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmaceutical Sciences, British Journal of Cancer and Journal of Reproductive Immunology.

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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