Nicholas Brown

1.1k citations
44 papers · 630 · h-index 11

Impact in

Papers in

Nicholas Brown

38 papers receiving 445 citations

Peers

Nicholas Brown
Comparison fields: 5 of 39
  • Internal Medicine 231
  • Gastroenterology 52
  • Radiology, Nuclear Medicine and Imaging 83
  • Transplantation 8
  • Health Informatics 4
Replace Zoraida Moreno Weidmann with:
Zoraida Moreno Weidmann Spain
L Barritault France
J. Fred Verzijlbergen Netherlands
B. Guias France
Tadayuki Hiroki Japan
Samuel Hamilton Ireland
Eva Evander Sweden
Iyad N. Daher United States
Liz Andréa Villela Baroncini Brazil
Bernard Langella France
Nicholas Brown relative to Zoraida Moreno Weidmann Spain Zoraida Moreno Weidmann's profile →
Citations per field
00.5×5×10×17.3×
Zoraida Moreno Weidmann · 1×
Citations per year

Countries citing papers authored by Nicholas Brown

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968270
2 197069
3 198132
4 196928
5
A new transverse-section brain imager for single-gamma emitters.
197925
6 196823
7 199921
8 196918
9 197116
10 198612
11 199712
12 198310
13 199610
14 19788
15
125-I-labelled fibrinogen in the diagnosis of deep-vein thrombosis.
19697
16
Medical data standards
19977
17 19706
18 19716
19 19786
20 19786

About Nicholas Brown

Nicholas Brown is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Information Management, Internal Medicine, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 44 papers that have together received 630 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Electronic Health Records Systems (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Cardiac Imaging and Diagnostics (3 papers), Renal and Vascular Pathologies (2 papers), Radiopharmaceutical Chemistry and Applications (1 paper), Acute Kidney Injury Research (1 paper) and Electrolyte and hormonal disorders (1 paper). The work is most often cited by research in Internal Medicine (231 citations), Gastroenterology (52 citations), Radiology, Nuclear Medicine and Imaging (83 citations), Transplantation (8 citations) and Health Informatics (4 citations). Nicholas Brown has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include David Negus, L P Le Quesne, Malcolm B. Chapman, K. E. Britton, David H. Keeling, R.F. Harvey, W. Tudor Davies, Peter Josef Ell, Peter Hedley Jarritt and S. Patrick Walton. Their work appears in journals such as British Journal of Radiology, The Lancet, Heart, British journal of surgery and Nuklearmedizin - NuclearMedicine.

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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