Naeem Khan
- Immunology top 1%
- Epidemiology top 1%
- Oncology top 5%
- Molecular Biology
- Hematology top 2%
- Co-authors
- Paul MossLaxman NayakMark CobboldRachel BrutonAlan J. SinclairAlan B. RickinsonRonjon ChakravertyArnold Pizzey
- Topics
- Cytomegalovirus and herpesvirus research (28 papers)Immune Cell Function and Interaction (26 papers)T-cell and B-cell Immunology (19 papers)
- Cited by
- ImmunologyEpidemiologyHematology
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Naeem Khan
69 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 2.3k
- Epidemiology 2.2k
- Oncology 856
- Molecular Biology 644
- Hematology 516
Countries citing papers authored by Naeem Khan
This map shows the geographic impact of Naeem Khan'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 Naeem Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naeem Khan more than expected).
Fields of papers citing papers by Naeem Khan
This network shows the impact of papers produced by Naeem Khan. 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 Naeem Khan. The network helps show where Naeem Khan may publish in the future.
Co-authorship network of co-authors of Naeem Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Naeem Khan. A scholar is included among the top collaborators of Naeem Khan 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 Naeem Khan. Naeem Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | 21 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | Towards the sustainable management of parthenium weed (Parthenium hysterophorus L.) under a changing climate: An international collaborative approach | 1 |
| 12 | 15 | |
| 13 | 172 | |
| 14 | 24 | |
| 15 | 62 | |
| 16 | 269 | |
| 17 | 20 | |
| 18 | 368 | |
| 19 | 7 | |
| 20 | Cytomegalovirus-specific adoptive cellular therapy results in massive and persistent expansions of CMV-specific T-cells and significantly reduces the incidence of CMV reactivation following allogeneic transplantation. | 2 |
About Naeem Khan
Naeem Khan is a scholar working on Immunology, Hematology and Epidemiology, having authored 71 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (28 papers), Immune Cell Function and Interaction (26 papers) and T-cell and B-cell Immunology (19 papers). The work is most often cited by research in Immunology (2.3k citations), Epidemiology (2.2k citations) and Hematology (516 citations). Naeem Khan has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Paul Moss, Laxman Nayak, Mark Cobbold, Rachel Bruton, Alan J. Sinclair, Alan B. Rickinson, Ronjon Chakraverty, Arnold Pizzey, Stephanie Verfuerth and Stephen Mackinnon. Their work appears in journals such as The Lancet, Journal of the American Chemical Society and Nature Communications.
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.