B. A. Millward

1.6k citations
31 papers · 1.1k · h-index 17

Impact in

Papers in

B. A. Millward

31 papers receiving 999 citations

Peers

B. A. Millward
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 482
  • Genetics 584
  • Immunology 247
  • Surgery 424
  • Obstetrics and Gynecology 46
Replace Katharina Warncke with:
Katharina Warncke Germany
GiovamBattista Rini Italy
Shinobu Ida Japan
Thomas Bastholm Olesen Denmark
R Pascone Italy
A. Clarke United Kingdom
Takuji Kishimoto Japan
Richard Gillies Canada
Keun Young Yoo South Korea
A. Bellini Italy
B. A. Millward relative to Katharina Warncke Germany Katharina Warncke's profile →
Citations per field
00.5×3.5×
Katharina Warncke · 1×
Citations per year

Countries citing papers authored by B. A. Millward

Since Specialization
Citations

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

Fields of papers citing papers by B. A. Millward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. A. Millward. 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 B. A. Millward. The network helps show where B. A. Millward may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988174
2 2005105
3 200090
4
T cell receptor beta chain polymorphisms are associated with insulin-dependent diabetes.
198781
5 198870
6 198753
7 198650
8 198744
9 200141
10 199540
11 198938
12 199133
13 200631
14 201427
15 200525
16 199923
17
Thyroglobulin antibodies in Graves' disease are associated with T-cell receptor beta chain and major histocompatibility complex loci.
198922
18 199715
19 199214
20 199012

About B. A. Millward

B. A. Millward is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Immunology and Physiology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (18 papers), Pancreatic function and diabetes (11 papers), Diabetes Management and Research (10 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (482 citations), Genetics (584 citations), Immunology (247 citations), Surgery (424 citations) and Obstetrics and Gynecology (46 citations). B. A. Millward has collaborated with scholars based in United Kingdom, United States and Iran. Frequent co-authors include David A. Pyke, R. D. G. Leslie, A. G. Demaine, DA Heaton, Andrew Demaine, Pablo Olmos, Roger A’Hern, Martin L. Hibberd, Elizabeth Stenhouse and C. N. Hales. Their work appears in journals such as Diabetic Medicine, Diabetologia, Journal of Diabetes and its Complications, Journal of Clinical Pathology and BDJ.

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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