Mohammad Haeri

39 papers receiving 554 citations

Peers

Mohammad Haeri
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 180
  • Health Informatics 12
  • Cell Biology 122
  • Biophysics 36
  • Ophthalmology 57
Replace J. Arjuna Ratnayaka with:
J. Arjuna Ratnayaka United Kingdom
Luis Bonet‐Ponce United States
Boris Brenerman United States
Lanfranco Leo United States
Ibrahim Malik United States
Gerald Birk Germany
Julián Esteve-Rudd United States
Caroline Bevona United States
Astrid Zayas‐Santiago Puerto Rico
Ekaterina Posokhova United States
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Citations per field
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J. Arjuna Ratnayaka · 1×
Citations per year

Countries citing papers authored by Mohammad Haeri

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Haeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200877
2 201259
3
Endoplasmic Reticulum Stress and Unfolded Protein Response Pathways: Potential for Treating Age-related Retinal Degeneration.
201255
4 200651
5
Endoplasmic Reticulum Stress and Unfolded Protein Response Pathways: Potential for Treating Age-related Retinal Degeneration
201640
6 201428
7 200926
8 201723
9 201221
10 202220
11 202220
12 202112
13 201312
14 201311
15 202310
16 202310
17 20259
18 20129
19 20228
20 20247

About Mohammad Haeri

Mohammad Haeri is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Neurology and Cell Biology, having authored 44 papers that have together received 564 indexed citations. Recurring topics across this work include Retinal Development and Disorders (13 papers), Photoreceptor and optogenetics research (9 papers), Alzheimer's disease research and treatments (7 papers), Mitochondrial Function and Pathology (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), AI in cancer detection (4 papers), Retinal Diseases and Treatments (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (180 citations), Health Informatics (12 citations), Cell Biology (122 citations), Biophysics (36 citations) and Ophthalmology (57 citations). Mohammad Haeri has collaborated with scholars based in United States, China and Croatia. Frequent co-authors include Barry E. Knox, Eduardo Solessio, Nikolai P. Skiba, Vadim Y. Arshavsky, Sheila A. Baker, Sidney M. Gospe, Russell H. Swerdlow, Peter D. Calvert, Nikolai O. Artemyev and Hakim Muradov. Their work appears in journals such as PLoS ONE, Alzheimer s & Dementia, MethodsX, Neurobiology of Disease and Journal of Alzheimer s Disease.

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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