D M Nott

25 papers receiving 373 citations

Peers

D M Nott
Comparison fields: 5 of 67
  • Hepatology 87
  • Surgery 199
  • Pulmonary and Respiratory Medicine 139
  • Oncology 94
  • Cardiology and Cardiovascular Medicine 76
Replace Mario Kopljar with:
Mario Kopljar Croatia
J.P.A. Lodge United Kingdom
Chung-Bao Hsieh Taiwan
Takamasa Kobayashi Japan
Anne Le Sidaner France
Federico Sicoli Italy
Ming‐Lang Shih Taiwan
Daniel P. Milgrom United States
J. Schneider Germany
Philipp Holzner Germany
D M Nott relative to Mario Kopljar Croatia Mario Kopljar's profile →
Citations per field
00.5×2.7×
Mario Kopljar · 1×
Citations per year

Countries citing papers authored by D M Nott

Since Specialization
Citations

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

Fields of papers citing papers by D M Nott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D M Nott. 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 D M Nott. The network helps show where D M Nott may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199697
2 199738
3 199133
4 199532
5 198931
6 199525
7
Fluctuations in the secretion of pancreatic enzymes between consecutive doses of octreotide: implications for the management of fistulae.
199520
8 199718
9 199217
10 198915
11 199110
12 198910
13 19969
14
Suspected cimetidine-induced acute pancreatitis.
19899
15 19959
16 19974
17 19873
18 20163
19 19952
20
The effect of portal venous flow on the washout of a regionally injected marker substance 99mTc-methylene diphosphonate after hepatic arterial blockade with degradable starch microspheres.
19922

About D M Nott

D M Nott is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 394 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Liver Disease and Transplantation (4 papers), Trauma and Emergency Care Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Aortic aneurysm repair treatments (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers). The work is most often cited by research in Hepatology (87 citations), Surgery (199 citations), Pulmonary and Respiratory Medicine (139 citations), Oncology (94 citations) and Cardiology and Cardiovascular Medicine (76 citations). D M Nott has collaborated with scholars based in United Kingdom, Australia and Ireland. Frequent co-authors include S A Jenkins, J N Baxter, R G Springall, Anne Fawcett, R Vashisht, Roger M. Greenhalgh, S A Jenkins, J Yates, T G Cooke and Michael R. Gray. Their work appears in journals such as British journal of surgery, British Journal of Cancer, Gut, HPB Surgery and Annals of The Royal College of Surgeons of England.

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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