Daniel Darko

506 citations
17 papers · 364 · h-index 8

Impact in

Papers in

Daniel Darko

16 papers receiving 360 citations

Peers

Daniel Darko
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 85
  • Biochemistry 23
  • Nephrology 24
  • Nutrition and Dietetics 49
  • Radiology, Nuclear Medicine and Imaging 59
Replace I. Kardasz with:
I. Kardasz Italy
Babak Bagheri Iran
Rosalia Arsena Italy
Antônio Carlos Palandri Chagas Brazil
Haruki Imamura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Darko

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Darko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2007135
2 2002105
3 201736
4 201926
5 201418
6 202313
7 201812
8 20199
9
Renal calculi as a presenting feature in a patient with familial hypocalciuric hypercalcaemia (FHH).
20122
10 20212
11 20171
12
Radioactive-iodine therapy: a patient satisfaction survey
20101
13 19991
14 20211
15
Dramatic response with medical treatment of an extensively invasive 'giant' prolactinoma with cabergoline
20041
16 20071
17 20250

About Daniel Darko

Daniel Darko is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Plant Science, having authored 17 papers that have together received 364 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Cardiac Imaging and Diagnostics (2 papers), Medical Imaging and Pathology Studies (1 paper), Agricultural risk and resilience (1 paper), Advanced Radiotherapy Techniques (1 paper), Sunflower and Safflower Cultivation (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (85 citations), Biochemistry (23 citations), Nephrology (24 citations), Nutrition and Dietetics (49 citations) and Radiology, Nuclear Medicine and Imaging (59 citations). Daniel Darko has collaborated with scholars based in United Kingdom, Ghana and Switzerland. Frequent co-authors include Avijit Lahiri, Frank J. Kelly, Anne Dornhorst, Phil Chowienczyk, James M. Ritter, Dhakshinamurthy Vijay Anand, Eric Lim, David Hopkins, Roger Corder and David Lipkin. Their work appears in journals such as Journal of Nuclear Cardiology, Clinical Science, Cardiovascular Diabetology, Clinical Cardiology and Journal of the American College of Cardiology.

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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