Darrell Sawmiller

1.6k citations
54 papers · 1.2k · h-index 19

Impact in

    • Tryptophan and brain disorders
  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Adenosine and Purinergic Signaling

Papers in

Darrell Sawmiller

52 papers receiving 1.2k citations

Peers

Darrell Sawmiller
Comparison fields: 5 of 108
  • Biological Psychiatry 63
  • Physiology 99
  • Physiology 470
  • Neurology 115
  • Complementary and alternative medicine 97
Replace Tianfang Jiang with:
Tianfang Jiang China
Elena Lucarini Italy
Ashok Iyaswamy Hong Kong
Benjamin Chun‐Kit Tong Hong Kong
Sravan Gopalkrishnashetty Sreenivasmurthy Hong Kong
Grzegorz A. Czapski Poland
Domenica Caponio Norway
Sai-Li Yi United States
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Citations per field
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Citations per year

Countries citing papers authored by Darrell Sawmiller

Since Specialization
Citations

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

Fields of papers citing papers by Darrell Sawmiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014128
2 201399
3 201675
4 201674
5 202071
6 200065
7 201562
8 202156
9 199546
10 201936
11 201726
12 201326
13 201524
14 201523
15 199122
16 199221
17 201520
18 201220
19 198820
20 201317

About Darrell Sawmiller

Darrell Sawmiller is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (22 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Adenosine and Purinergic Signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroscience of respiration and sleep (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Biological Psychiatry (63 citations), Physiology (99 citations), Physiology (470 citations), Neurology (115 citations) and Complementary and alternative medicine (97 citations). Darrell Sawmiller has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jun Tan, Jun Tan, Ahsan Habib, Brian Giunta, C. C. Chou, Huayan Hou, Demian Obregon, R. Douglas Shytle, Song Li and Paul R. Sanberg. Their work appears in journals such as Cell Transplantation, American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of Alzheimer s Disease, American Journal of Physiology-Heart and Circulatory Physiology and Neuropeptides.

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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