Neema Jamshidi
- Molecular Biology top 2%
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Physiology top 5%
- Cancer Research top 5%
- Co-authors
- Bernhard Ø. PalssonInes ThieleMonica L. MoThuy D. VoScott A. BeckerRohith SrivasAarash BordbarMichael Kuo
- Topics
- Microbial Metabolic Engineering and Bioproduction (27 papers)Metabolomics and Mass Spectrometry Studies (15 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Neema Jamshidi
70 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 2.8k
- Biomedical Engineering 508
- Radiology, Nuclear Medicine and Imaging 410
- Physiology 382
- Cancer Research 376
Countries citing papers authored by Neema Jamshidi
This map shows the geographic impact of Neema 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 Neema Jamshidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neema Jamshidi more than expected).
Fields of papers citing papers by Neema Jamshidi
This network shows the impact of papers produced by Neema 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 Neema Jamshidi. The network helps show where Neema Jamshidi may publish in the future.
Co-authorship network of co-authors of Neema Jamshidi
This figure shows the co-authorship network connecting the top 25 collaborators of Neema Jamshidi. A scholar is included among the top collaborators of Neema 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 Neema Jamshidi. Neema Jamshidi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 39 | |
| 5 | 24 | |
| 6 | 13 | |
| 7 | 26 | |
| 8 | 2 | |
| 9 | 31 | |
| 10 | 10 | |
| 11 | 57 | |
| 12 | 36 | |
| 13 | 103 | |
| 14 | 55 | |
| 15 | 93 | |
| 16 | 10 | |
| 17 | 47 | |
| 18 | 45 | |
| 19 | 72 | |
| 20 | 17 |
About Neema Jamshidi
Neema Jamshidi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pharmacology and Molecular Biology, having authored 71 papers that have together received 4.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (27 papers), Metabolomics and Mass Spectrometry Studies (15 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Cancer Research (376 citations) and Biochemistry (147 citations). Neema Jamshidi has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Bernhard Ø. Palsson, Ines Thiele, Monica L. Mo, Thuy D. Vo, Scott A. Becker, Rohith Srivas, Aarash Bordbar, Michael Kuo, Nathan E. Lewis and Jan Schellenberger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.