Neil Shah
- Obstetrics and Gynecology top 2%
- Biochemistry top 2%
- Reproductive Medicine top 5%
- Critical Care and Intensive Care Medicine top 5%
- Management of Technology and Innovation top 5%
- Co-authors
- Lawrence T. GoodnoughT. Justin ClarkChristopher H. MannKhalid S. KhanJanesh GuptaFujian SongLisa ShiehPaul M. Maggio
- Topics
- Blood transfusion and management (10 papers)Blood donation and transfusion practices (6 papers)Healthcare cost, quality, practices (4 papers)
- Journals
- BloodJournal of Clinical MicrobiologyBJOG An International Journal of Obstetrics & Gynaecology
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Neil Shah
23 papers receiving 631 citations
Peers
Comparison fields: 5 of 74
- Obstetrics and Gynecology 238
- Biochemistry 208
- Reproductive Medicine 154
- Critical Care and Intensive Care Medicine 139
- Management of Technology and Innovation 115
Countries citing papers authored by Neil Shah
This map shows the geographic impact of Neil Shah'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 Neil Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Shah more than expected).
Fields of papers citing papers by Neil Shah
This network shows the impact of papers produced by Neil Shah. 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 Neil Shah. The network helps show where Neil Shah may publish in the future.
Co-authorship network of co-authors of Neil Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Neil Shah. A scholar is included among the top collaborators of Neil Shah 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 Neil Shah. Neil Shah 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 | 3 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | Predicting Low Information Laboratory Diagnostic Tests. | 8 |
| 8 | 11 | |
| 9 | 64 | |
| 10 | 14 | |
| 11 | 5 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 27 | |
| 16 | 142 | |
| 17 | 43 | |
| 18 | 9 | |
| 19 | 192 | |
| 20 | 65 |
About Neil Shah
Neil Shah is a scholar working on Biochemistry, Management of Technology and Innovation and Health Information Management, having authored 23 papers that have together received 647 indexed citations. Recurring topics across this work include Blood transfusion and management (10 papers), Blood donation and transfusion practices (6 papers) and Healthcare cost, quality, practices (4 papers). The work is most often cited by research in Biochemistry (208 citations), Obstetrics and Gynecology (238 citations) and Critical Care and Intensive Care Medicine (139 citations). Neil Shah has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Lawrence T. Goodnough, T. Justin Clark, Christopher H. Mann, Khalid S. Khan, Janesh Gupta, Fujian Song, Lisa Shieh, Paul M. Maggio, Eric Hadhazy and Tina Hernandez‐Boussard. Their work appears in journals such as Blood, Journal of Clinical Microbiology and BJOG An International Journal of Obstetrics & Gynaecology.
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.