Seid Muhie

1.2k total citations
41 papers, 673 citations indexed

About

Seid Muhie is a scholar working on Molecular Biology, Behavioral Neuroscience and Physiology. According to data from OpenAlex, Seid Muhie has authored 41 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Behavioral Neuroscience and 8 papers in Physiology. Recurrent topics in Seid Muhie's work include Stress Responses and Cortisol (9 papers), Tryptophan and brain disorders (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Seid Muhie is often cited by papers focused on Stress Responses and Cortisol (9 papers), Tryptophan and brain disorders (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Seid Muhie collaborates with scholars based in United States, Ethiopia and Russia. Seid Muhie's co-authors include Marti Jett, Rasha Hammamieh, Aarti Gautam, Nabarun Chakraborty, James L. Meyerhoff, Allison Hoke, Daniel A. Enquobahrie, Michelle A. Williams, Peter D’Arpa and Ruoting Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Seid Muhie

40 papers receiving 665 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seid Muhie United States 17 238 188 137 123 57 41 673
Chirayu D. Pandya United States 18 258 1.1× 129 0.7× 209 1.5× 132 1.1× 44 0.8× 30 924
Amy E.B. Packard United States 15 153 0.6× 228 1.2× 96 0.7× 115 0.9× 53 0.9× 23 796
Mengying Liu China 13 257 1.1× 279 1.5× 317 2.3× 197 1.6× 48 0.8× 35 1.1k
Timothy R. Powell United Kingdom 19 230 1.0× 226 1.2× 360 2.6× 204 1.7× 61 1.1× 51 1.0k
Manon Lebel Canada 14 232 1.0× 182 1.0× 256 1.9× 144 1.2× 25 0.4× 27 865
Eleni Siopi France 9 366 1.5× 124 0.7× 263 1.9× 186 1.5× 99 1.7× 13 822
Maja Johansson Sweden 16 155 0.7× 182 1.0× 60 0.4× 182 1.5× 55 1.0× 32 886
А. А. Yakovlev Russia 16 268 1.1× 102 0.5× 100 0.7× 164 1.3× 63 1.1× 101 808
Nicola Lopizzo Italy 12 469 2.0× 142 0.8× 324 2.4× 294 2.4× 34 0.6× 23 878
Zdeno Pirník Slovakia 17 167 0.7× 139 0.7× 57 0.4× 183 1.5× 26 0.5× 54 807

Countries citing papers authored by Seid Muhie

Since Specialization
Citations

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

Fields of papers citing papers by Seid Muhie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seid Muhie

This figure shows the co-authorship network connecting the top 25 collaborators of Seid Muhie. A scholar is included among the top collaborators of Seid Muhie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seid Muhie. Seid Muhie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Muhie, Seid, et al.. (2025). Effects of Environmental Chemical Pollutants on Microbiome Diversity: Insights from Shotgun Metagenomics. Toxics. 13(2). 142–142. 1 indexed citations
2.
Hammamieh, Rasha, et al.. (2025). MultiModalGraphics: an R package for graphical integration of multi-omics datasets. BMC Bioinformatics. 26(1). 259–259.
3.
Muhie, Seid, et al.. (2024). Early Cervical Cancer Diagnosis with SWIN-Transformer and Convolutional Neural Networks. Diagnostics. 14(20). 2286–2286. 3 indexed citations
4.
Jett, Marti, et al.. (2024). Medical Image Classifications Using Convolutional Neural Networks: A Survey of Current Methods and Statistical Modeling of the Literature. SHILAP Revista de lepidopterología. 6(1). 699–736. 22 indexed citations
5.
Muhie, Seid, Aarti Gautam, Ruoting Yang, et al.. (2023). Molecular signatures of post-traumatic stress disorder in war-zone-exposed veteran and active-duty soldiers. Cell Reports Medicine. 4(5). 101045–101045. 14 indexed citations
6.
7.
Muhie, Seid, Aarti Gautam, Burook Misganaw, et al.. (2023). Integrated analysis of proteomics, epigenomics and metabolomics data revealed divergent pathway activation patterns in the recent versus chronic post-traumatic stress disorder. Brain Behavior and Immunity. 113. 303–316. 12 indexed citations
8.
Misganaw, Burook, Ruoting Yang, Aarti Gautam, et al.. (2022). The Genetic Basis for the Increased Prevalence of Metabolic Syndrome among Post-Traumatic Stress Disorder Patients. International Journal of Molecular Sciences. 23(20). 12504–12504. 6 indexed citations
9.
Alkhalil, Abdulnaser, Bonnie C Carney, Taryn E Travis, et al.. (2019). Dyspigmented hypertrophic scars: Beyond skin color. Pigment Cell & Melanoma Research. 32(5). 643–656. 11 indexed citations
10.
Muhie, Seid, Ross T. Campbell, Aarti Gautam, et al.. (2019). Molecular alterations induced by Yersinia pestis, dengue virus and Staphylococcal enterotoxin B under severe stress. Brain Behavior and Immunity. 80. 725–741. 3 indexed citations
11.
Gautam, Aarti, Raina Kumar, Nabarun Chakraborty, et al.. (2018). Altered fecal microbiota composition in all male aggressor‐exposed rodent model simulating features of post‐traumatic stress disorder. Journal of Neuroscience Research. 96(7). 1311–1323. 52 indexed citations
12.
Gautam, Aarti, Seid Muhie, Nabarun Chakraborty, et al.. (2018). Metabolomic analyses reveal lipid abnormalities and hepatic dysfunction in non-human primate model for Yersinia pestis. Metabolomics. 15(1). 2–2. 8 indexed citations
13.
Muhie, Seid, Aarti Gautam, Nabarun Chakraborty, et al.. (2017). Molecular indicators of stress-induced neuroinflammation in a mouse model simulating features of post-traumatic stress disorder. Translational Psychiatry. 7(5). e1135–e1135. 62 indexed citations
14.
Chakraborty, Nabarun, Seid Muhie, Raina Kumar, et al.. (2017). Contributions of polyunsaturated fatty acids (PUFA) on cerebral neurobiology: an integrated omics approach with epigenomic focus. The Journal of Nutritional Biochemistry. 42. 84–94. 17 indexed citations
15.
Chakraborty, Nabarun, James L. Meyerhoff, Aarti Gautam, et al.. (2015). Gene and stress history interplay in emergence of PTSD-like features. Behavioural Brain Research. 292. 266–277. 8 indexed citations
16.
Muhie, Seid, Rasha Hammamieh, Christiano Cummings, David C.H. Yang, & Marti Jett. (2015). Stress-caused anergy of leukocytes towards Staphylococcal enterotoxin B and exposure transcriptome signatures. Genes and Immunity. 16(5). 330–346. 1 indexed citations
17.
Yang, Ruoting, Bernie J. Daigle, Seid Muhie, et al.. (2013). Core modular blood and brain biomarkers in social defeat mouse model for post traumatic stress disorder. BMC Systems Biology. 7(1). 80–80. 23 indexed citations
18.
Hammamieh, Rasha, Nabarun Chakraborty, Thereza Christina Monteiro de Lima, et al.. (2012). Murine model of repeated exposures to conspecific trained aggressors simulates features of post-traumatic stress disorder. Behavioural Brain Research. 235(1). 55–66. 48 indexed citations
19.
Muhie, Seid, et al.. (2009). Estrogen receptor-dependent genomic expression profiles in breast cancer cells in response to fatty acids. Journal of Carcinogenesis. 8(1). 17–17. 10 indexed citations
20.
Muhie, Seid, et al.. (2005). Peptide inhibitors of botulinum neurotoxin by mRNA display. Biochemical and Biophysical Research Communications. 335(4). 1247–1253. 9 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chirayu D. Pandya Breakdown of academic impact, for papers by Amy E.B. Packard Breakdown of academic impact, for papers by Mengying Liu Breakdown of academic impact, for papers by Timothy R. Powell Breakdown of academic impact, for papers by Manon Lebel Breakdown of academic impact, for papers by Eleni Siopi Breakdown of academic impact, for papers by Maja Johansson Breakdown of academic impact, for papers by А. А. Yakovlev Breakdown of academic impact, for papers by Nicola Lopizzo Breakdown of academic impact, for papers by Zdeno Pirník
Rankless by CCL
2026