Amna Klich
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
Papers in
-
- Bayesian Methods and Mixture Models 3
-
- Statistical Methods and Bayesian Inference 3
- Statistical Methods and Inference 2
- Co-authors
- René Écochard (8 shared papers)Laurence Dubourg (1 shared paper)Laetitia Koppe (1 shared paper)Aoumeur Hadj‐Aïssa (1 shared paper)Marie-Georges Lapalus (1 shared paper)Stéphane Nancey (1 shared paper)Vincent Lépilliez (1 shared paper)Delphine Maucort‐Boulch (4 shared papers)
- Journals
- Statistics in Medicine (3 papers)Pediatric Transplantation (2 papers)Methods of Information in Medicine (1 paper)Journal of Nephrology (1 paper)Biometrical Journal (1 paper)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Amna Klich
16 papers receiving 200 citations
Peers
Comparison fields: 5 of 47
- Nephrology 56
- Transplantation 7
- Endocrinology, Diabetes and Metabolism 39
- Pathology and Forensic Medicine 30
- Neurology 15
Countries citing papers authored by Amna Klich
This map shows the geographic impact of Amna Klich'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 Amna Klich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amna Klich more than expected).
Fields of papers citing papers by Amna Klich
This network shows the impact of papers produced by Amna Klich. 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 Amna Klich. The network helps show where Amna Klich may publish in the future.
Co-authors
The 25 scholars most cited alongside Amna Klich, 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 | 2013 | 66 | |
| 2 | 2021 | 43 | |
| 3 | 2014 | 33 | |
| 4 | 2023 | 18 | |
| 5 | 2013 | 9 | |
| 6 | 2018 | 8 | |
| 7 | 2018 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2017 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2023 | 0 |
About Amna Klich
Amna Klich is a scholar working on Artificial Intelligence, Statistics and Probability, Epidemiology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 18 papers that have together received 207 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Bayesian Methods and Mixture Models (3 papers), Statistical Methods and Inference (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Mass Spectrometry Techniques and Applications (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Autoimmune Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Nephrology (56 citations), Transplantation (7 citations), Endocrinology, Diabetes and Metabolism (39 citations), Pathology and Forensic Medicine (30 citations) and Neurology (15 citations). Amna Klich has collaborated with scholars based in France, United States and Canada. Frequent co-authors include René Écochard, Laurence Dubourg, Laetitia Koppe, Aoumeur Hadj‐Aïssa, Marie-Georges Lapalus, Stéphane Nancey, Vincent Lépilliez, Delphine Maucort‐Boulch, Bertrand Napoléon and Thierry Ponchon. Their work appears in journals such as Statistics in Medicine, Pediatric Transplantation, Methods of Information in Medicine, Journal of Nephrology and Biometrical Journal.
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.