Michael L. Niehoff

3.5k citations
76 papers · 2.8k indexed · h-index 28

Impact in

Papers in

Michael L. Niehoff

75 papers receiving 2.8k citations

Peers

Michael L. Niehoff
Comparison fields: 5 of 119
  • Endocrine and Autonomic Systems 540
  • Neurology 484
  • Biological Psychiatry 111
  • Physiology 937
  • Cellular and Molecular Neuroscience 510
Replace Carlos Spuch with:
Carlos Spuch Spain
Elizabeth M. Rhea United States
Ana I. Duarte Portugal
Salvatore Guarini Italy
António Francisco Ambrósio Portugal
Jeffrey J. Lochhead United States
Yazhou Li United States
Anika M. S. Hartz United States
Ryusuke Takechi Australia
Kenji Dohi Japan
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Citations per field
00.5×1.5×2.3×
Carlos Spuch · 1×
Citations per year

Countries citing papers authored by Michael L. Niehoff

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Niehoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Niehoff. 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 Michael L. Niehoff. The network helps show where Michael L. Niehoff may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20216
3 20214
4 202025
5 20208
6 201915
7 201923
8 20188
9 2015155
10 201253
11 201044
12 201019
13 200852
14 200681
15
Polypeptide point modifications with fatty acid and amphiphilic block copolymers for enhanced brain delivery (vol 16, pg 798, 2005)
20051
16 2004108
17 2003139
18 20039
19 200298
20 19999

About Michael L. Niehoff

Michael L. Niehoff is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Neurology, Nutrition and Dietetics and Physiology, having authored 76 papers that have together received 2.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (9 papers), Regulation of Appetite and Obesity (7 papers), Biochemical Analysis and Sensing Techniques (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Trace Elements in Health (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (540 citations), Neurology (484 citations), Biological Psychiatry (111 citations), Physiology (937 citations) and Cellular and Molecular Neuroscience (510 citations). Michael L. Niehoff has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include William A. Banks, John E. Morley, Susan A. Farr, Tulin O. Price, Catherine L. Farrell, Matthew J. During, Naoko Nonaka, Seiji Shioda, Sandra Robinson and Vijaya B. Kumar. Their work appears in journals such as Journal of Alzheimer s Disease, Journal of Surgical Research, European Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics and Transplantation.

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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