Elham Jamshidi

14.4k total citations
17 papers, 378 citations indexed

About

Elham Jamshidi is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Elham Jamshidi has authored 17 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Genetics. Recurrent topics in Elham Jamshidi's work include Mesenchymal stem cell research (5 papers), COVID-19 Clinical Research Studies (3 papers) and vaccines and immunoinformatics approaches (3 papers). Elham Jamshidi is often cited by papers focused on Mesenchymal stem cell research (5 papers), COVID-19 Clinical Research Studies (3 papers) and vaccines and immunoinformatics approaches (3 papers). Elham Jamshidi collaborates with scholars based in Iran, Switzerland and Austria. Elham Jamshidi's co-authors include Amirhesam Babajani, Hassan Niknejad, Mohammad Hadi Farjoo, Kasra Moeinabadi‐Bidgoli, Soheyl Bahrami, Hadi Esmaily, Ghasem Yazdanpanah, Behrouz Farhadihosseinabadi, Nahal Mansouri and Sahand Jamal Rahi and has published in prestigious journals such as Scientific Reports, Biomedicine & Pharmacotherapy and Stem Cell Research & Therapy.

In The Last Decade

Elham Jamshidi

16 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elham Jamshidi Iran	13	126	76	58	57	45	17	378
Lassina Barro Taiwan	14	129 1.0×	78 1.0×	18 0.3×	27 0.5×	21 0.5×	19	418
Matthew L. Meizlish United States	7	163 1.3×	40 0.5×	90 1.6×	61 1.1×	13 0.3×	9	594
Diletta Arcidiacono Italy	14	145 1.2×	58 0.8×	57 1.0×	27 0.5×	10 0.2×	27	462
Gaganpreet Kaur United States	12	172 1.4×	25 0.3×	28 0.5×	28 0.5×	36 0.8×	24	563
Farshid Fathi Iran	12	78 0.6×	19 0.3×	51 0.9×	29 0.5×	13 0.3×	22	374
Xiaopeng Tang China	9	87 0.7×	25 0.3×	69 1.2×	24 0.4×	10 0.2×	16	388
Jing Chang China	11	178 1.4×	26 0.3×	28 0.5×	17 0.3×	9 0.2×	34	507
Bingshan Wu China	11	122 1.0×	20 0.3×	63 1.1×	74 1.3×	5 0.1×	20	388
Jianqiang Ding China	14	227 1.8×	12 0.2×	90 1.6×	54 0.9×	28 0.6×	22	693

Countries citing papers authored by Elham Jamshidi

Since Specialization

Citations

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

Fields of papers citing papers by Elham Jamshidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elham Jamshidi

This figure shows the co-authorship network connecting the top 25 collaborators of Elham Jamshidi. A scholar is included among the top collaborators of Elham Jamshidi 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 Elham Jamshidi. Elham Jamshidi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Assarzadegan, Farhad, et al.. (2023). Evaluating the effectiveness of probiotics in relieving constipation in Parkinson’s disease: A systematic review and meta-analysis. Heliyon. 9(3). e14312–e14312. 12 indexed citations

Eslami, Narges, et al.. (2023). Evaluating the Effect of Eicosapentaenoic Acid in Children With Atopic Dermatitis: A Randomized Triple-Blind Clinical Trial. The Journal of Pediatric Pharmacology and Therapeutics. 28(1). 29–35. 2 indexed citations

Jamshidi, Elham, Nader Tavakoli, Ali Maher, et al.. (2022). Personalized predictions of adverse side effects of the COVID-19 vaccines. Heliyon. 9(1). e12753–e12753. 3 indexed citations

Babajani, Amirhesam, et al.. (2022). Anti-cancer effects of human placenta-derived amniotic epithelial stem cells loaded with paclitaxel on cancer cells. Scientific Reports. 12(1). 18148–18148. 13 indexed citations

Babajani, Amirhesam, Kasra Moeinabadi‐Bidgoli, Siavash Shariatzadeh, et al.. (2022). Human placenta-derived amniotic epithelial cells as a new therapeutic hope for COVID-19-associated acute respiratory distress syndrome (ARDS) and systemic inflammation. Stem Cell Research & Therapy. 13(1). 126–126. 22 indexed citations

Jamshidi, Elham, Nader Tavakoli, Alireza Zali, et al.. (2022). Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU. Frontiers in Digital Health. 3. 681608–681608. 22 indexed citations

Jamshidi, Elham, et al.. (2022). Personalized predictions of adverse side effects to the COVID-19 vaccines. 57–57.

Jamshidi, Elham, et al.. (2022). Longevity of immunity following COVID-19 vaccination: a comprehensive review of the currently approved vaccines. Human Vaccines & Immunotherapeutics. 18(5). 2037384–2037384. 18 indexed citations

Babajani, Amirhesam, et al.. (2021). The Current Challenges on Spray-Based Cell Delivery to the Skin Wounds. Tissue Engineering Part C Methods. 27(10). 543–558. 17 indexed citations

10.

Babajani, Amirhesam, et al.. (2021). Targeted Mitochondrial Therapy With Over-Expressed MAVS Protein From Mesenchymal Stem Cells: A New Therapeutic Approach for COVID-19. Frontiers in Cell and Developmental Biology. 9. 695362–695362. 17 indexed citations

11.

Jamshidi, Elham, Nader Tavakoli, Alireza Zali, et al.. (2021). Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning. Frontiers in Artificial Intelligence. 4. 673527–673527. 19 indexed citations

12.

Jamshidi, Elham, et al.. (2021). Proposed Mechanisms of Targeting COVID-19 by Delivering Mesenchymal Stem Cells and Their Exosomes to Damaged Organs. Stem Cell Reviews and Reports. 17(1). 176–192. 43 indexed citations

13.

Meknatkhah, Sogol, Armin Aryannejad, Mohammad Ghafouri, et al.. (2021). Biofluid Biomarkers in Traumatic Brain Injury: A Systematic Scoping Review. Neurocritical Care. 35(2). 559–572. 31 indexed citations

14.

Moeinabadi‐Bidgoli, Kasra, Amirhesam Babajani, Ghasem Yazdanpanah, et al.. (2021). Translational insights into stem cell preconditioning: From molecular mechanisms to preclinical applications. Biomedicine & Pharmacotherapy. 142. 112026–112026. 51 indexed citations

15.

Jamshidi, Elham, Sahand Jamal Rahi, & Nahal Mansouri. (2021). Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). OA3971–OA3971. 1 indexed citations

16.

Babajani, Amirhesam, et al.. (2020). Recent Advances on Drug-Loaded Mesenchymal Stem Cells With Anti-neoplastic Agents for Targeted Treatment of Cancer. Frontiers in Bioengineering and Biotechnology. 8. 748–748. 74 indexed citations

17.

Jahani, Reza, et al.. (2019). Evaluation and comparison of the antidepressant-like activity of Artemisia dracunculus and Stachys lavandulifolia ethanolic extracts: an in vivo study. Research in Pharmaceutical Sciences. 14(6). 544–544. 33 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.

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