P. K. Sehajpal
- Immunology top 10%
- Physiology top 10%
- Molecular Biology
- Clinical Biochemistry top 2%
- Epidemiology
- Co-authors
- Harry M. LanderAbraham NovogrodskyManikkam SuthanthiranDaniel M. LevineHelen VlassaraAnthony CeramiAshwani KhannaYuko Horii
- Topics
- Tuberculosis Research and Epidemiology (5 papers)Immune Cell Function and Interaction (5 papers)CAR-T cell therapy research (4 papers)
- Partner nations
- IndiaUnited StatesIsrael
In The Last Decade
P. K. Sehajpal
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Immunology 395
- Physiology 363
- Molecular Biology 340
- Clinical Biochemistry 204
- Epidemiology 157
Countries citing papers authored by P. K. Sehajpal
This map shows the geographic impact of P. K. Sehajpal'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 P. K. Sehajpal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. K. Sehajpal more than expected).
Fields of papers citing papers by P. K. Sehajpal
This network shows the impact of papers produced by P. K. Sehajpal. 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 P. K. Sehajpal. The network helps show where P. K. Sehajpal may publish in the future.
Co-authorship network of co-authors of P. K. Sehajpal
This figure shows the co-authorship network connecting the top 25 collaborators of P. K. Sehajpal. A scholar is included among the top collaborators of P. K. Sehajpal 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 P. K. Sehajpal. P. K. Sehajpal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 19 | |
| 3 | Prevalence and predictors of essential hypertension in the rural population of Haryana, India: an hospital based study. | 8 |
| 4 | Association of P2X7 receptor +1513 (A-->C) polymorphism with tuberculosis in a Punjabi population. | 34 |
| 5 | Differential association of tumour necrosis factor-alpha single nucleotide polymorphism (-308) with tuberculosis and bronchial asthma. | 18 |
| 6 | 3 | |
| 7 | 26 | |
| 8 | 7 | |
| 9 | A new rapid method for the isolation of mycobacterial DNA. | 2 |
| 10 | 88 | |
| 11 | 96 | |
| 12 | 22 | |
| 13 | 158 | |
| 14 | 176 | |
| 15 | 5 | |
| 16 | 121 | |
| 17 | 6 | |
| 18 | 16 | |
| 19 | 2 | |
| 20 | 1 |
About P. K. Sehajpal
P. K. Sehajpal is a scholar working on Physiology, Immunology and Hepatology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Clinical Biochemistry (204 citations), Transplantation (68 citations) and Immunology (395 citations). P. K. Sehajpal has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Harry M. Lander, Abraham Novogrodsky, Manikkam Suthanthiran, Daniel M. Levine, Helen Vlassara, Anthony Cerami, Ashwani Khanna, Yuko Horii, Zenji Makita and K H Stenzel. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and FEBS Letters.
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.