Daniel A. Donoho

2.4k citations
82 papers · 1.8k · h-index 24

Impact in

Papers in

Daniel A. Donoho

70 papers receiving 1.7k citations

Peers

Daniel A. Donoho
Comparison fields: 5 of 127
  • Health Informatics 83
  • Endocrinology, Diabetes and Metabolism 356
  • Endocrine and Autonomic Systems 131
  • Clinical Psychology 306
  • Surgery 341
Replace Nathan A. Shlobin with:
Nathan A. Shlobin United States
Paul Dimitri United Kingdom
Chad A. Grotegut United States
Ya‐Ching Hung United States
Koos Zwinderman Netherlands
Georg Wolff Germany
Parnian Shobeiri Iran
Rafael Boscolo‐Berto Italy
Chevis N. Shannon United States
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Citations per year

Countries citing papers authored by Daniel A. Donoho

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Donoho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009124
2 2020119
3 2009108
4 2018106
5 2011104
6 201089
7 202385
8 201065
9 200962
10 201753
11 201849
12 201847
13 202346
14 202044
15 201934
16 200934
17 202333
18 202133
19 202029
20 201827

About Daniel A. Donoho

Daniel A. Donoho is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Biomedical Engineering and Clinical Psychology, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include Surgical Simulation and Training (18 papers), Pituitary Gland Disorders and Treatments (13 papers), Cerebrospinal fluid and hydrocephalus (9 papers), Eating Disorders and Behaviors (5 papers), Meningioma and schwannoma management (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), Medical Imaging and Analysis (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Health Informatics (83 citations), Endocrinology, Diabetes and Metabolism (356 citations), Endocrine and Autonomic Systems (131 citations), Clinical Psychology (306 citations) and Surgery (341 citations). Daniel A. Donoho has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Gabriel Zada, Anne Klibanski, Karen K. Miller, Elizabeth A. Lawson, Madhusmita Misra, Erinne Meenaghan, David B. Herzog, Howard P. Forman, Joseph J. Cavallo and Ian A. Buchanan. Their work appears in journals such as World Neurosurgery, Operative Neurosurgery, Journal of neurosurgery, The Journal of Clinical Endocrinology & Metabolism and Neurosurgery.

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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