Mohammad A. Heidaran
- Molecular Biology top 5%
- Oncology top 5%
- Immunology top 10%
- Genetics top 5%
- Cell Biology top 5%
- Co-authors
- Jacalyn H. PierceStuart A. AaronsonToshimitsu MatsuiToru MikiW. Stephen KistlerJ. Silvio GutkindNicholas C. PopescuMatthias H. Kraus
- Topics
- Monoclonal and Polyclonal Antibodies Research (11 papers)Protein Kinase Regulation and GTPase Signaling (9 papers)Animal Genetics and Reproduction (6 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Mohammad A. Heidaran
49 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.5k
- Oncology 475
- Immunology 361
- Genetics 349
- Cell Biology 283
Countries citing papers authored by Mohammad A. Heidaran
This map shows the geographic impact of Mohammad A. Heidaran'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 A. Heidaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad A. Heidaran more than expected).
Fields of papers citing papers by Mohammad A. Heidaran
This network shows the impact of papers produced by Mohammad A. Heidaran. 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 A. Heidaran. The network helps show where Mohammad A. Heidaran may publish in the future.
Co-authorship network of co-authors of Mohammad A. Heidaran
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad A. Heidaran. A scholar is included among the top collaborators of Mohammad A. Heidaran 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 Mohammad A. Heidaran. Mohammad A. Heidaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 47 | |
| 3 | 68 | |
| 4 | TISSUE ENGINEERING: A BIOLOGICAL SOLUTION FOR TISSUE DAMAGE, LOSS OR END STAGE ORGAN FAILURE | 2 |
| 5 | 6 | |
| 6 | 134 | |
| 7 | 18 | |
| 8 | 14 | |
| 9 | 58 | |
| 10 | 8 | |
| 11 | 22 | |
| 12 | 10 | |
| 13 | 20 | |
| 14 | 22 | |
| 15 | 17 | |
| 16 | 26 | |
| 17 | 9 | |
| 18 | 59 | |
| 19 | 8 | |
| 20 | 23 |
About Mohammad A. Heidaran
Mohammad A. Heidaran is a scholar working on Hematology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Animal Genetics and Reproduction (6 papers). The work is most often cited by research in Immunology and Allergy (211 citations), Molecular Biology (1.5k citations) and Hematology (198 citations). Mohammad A. Heidaran has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Jacalyn H. Pierce, Stuart A. Aaronson, Toshimitsu Matsui, Toru Miki, W. Stephen Kistler, J. Silvio Gutkind, Nicholas C. Popescu, Matthias H. Kraus, JiaDe Yu and S A Aaronson. Their work appears in journals such as Science, Journal of Biological Chemistry and The Journal of Cell Biology.
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.