Nirmala Parajuli
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 6
- Nephrology top 5%
- Acute Kidney Injury Research 3
- Hepatology top 10%
- Liver Disease and Transplantation 8
- Clinical Biochemistry top 10%
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- Organ Transplantation Techniques and Outcomes 10
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- Mitochondrial Function and Pathology 5
- Coenzyme Q10 studies and effects 2
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- Organ Donation and Transplantation 3
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- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Lee Ann MacMillan-CrowPhilip R. MayeuxNaeem K. PatilWolfgang DopplerHamida SabaTanecia MitchellAndreas VillungerJoo‐Hye Song
- Cited by
- TransplantationNephrologyHepatology
- Journals
- Journal of Biological Chemistry (1 paper)The Journal of Immunology (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesAustriaJapan
In The Last Decade
Nirmala Parajuli
24 papers receiving 631 citations
Peers
Comparison fields: 5 of 85
- Transplantation 57
- Nephrology 93
- Hepatology 76
- Immunology 168
- Clinical Biochemistry 47
Countries citing papers authored by Nirmala Parajuli
This map shows the geographic impact of Nirmala Parajuli'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 Nirmala Parajuli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirmala Parajuli more than expected).
Fields of papers citing papers by Nirmala Parajuli
This network shows the impact of papers produced by Nirmala Parajuli. 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 Nirmala Parajuli. The network helps show where Nirmala Parajuli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nirmala Parajuli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2020 | 5 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 5 | |
| 7 | 2018 | 16 | |
| 8 | 2017 | 27 | |
| 9 | 2016 | 3 | |
| 10 | 2015 | 4 | |
| 11 | 2014 | 154 | |
| 12 | 2013 | 99 | |
| 13 | 2013 | 5 | |
| 14 | 2013 | 11 | |
| 15 | 2012 | 34 | |
| 16 | 2011 | 31 | |
| 17 | 2010 | 35 | |
| 18 | 2009 | 23 | |
| 19 | 2009 | 15 | |
| 20 | 2008 | 27 |
About Nirmala Parajuli
Nirmala Parajuli is a scholar working on Transplantation, Hepatology and Nephrology, having authored 25 papers that have together received 638 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (10 papers), Liver Disease and Transplantation (8 papers), Renal Transplantation Outcomes and Treatments (6 papers), Mitochondrial Function and Pathology (5 papers), Organ Donation and Transplantation (3 papers), Acute Kidney Injury Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Coenzyme Q10 studies and effects (2 papers). The work is most often cited by research in Transplantation (57 citations), Nephrology (93 citations) and Hepatology (76 citations). Nirmala Parajuli has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include Lee Ann MacMillan-Crow, Philip R. Mayeux, Naeem K. Patil, Wolfgang Doppler, Hamida Saba, Tanecia Mitchell, Andreas Villunger, Joo‐Hye Song, Elisabeth Müller‐Holzner and Hyung‐Joon Kwon. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.
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.