S.M. Mulla
Impact in
- Obstetrics and Gynecology top 2%
- Gestational Diabetes Research and Management
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Meta-analysis and systematic reviews 3
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- Hepatocellular Carcinoma Treatment and Prognosis 2
- Hepatitis C virus research 1
- Co-authors
- Joseph Beyene (2 shared papers)Zhen Han (1 shared paper)Sarah Diana McDonald (1 shared paper)Philippe Merle (2 shared papers)Sairy Hernandez (2 shared papers)Masatoshi Kudo (2 shared papers)T.-Y. Kim (1 shared paper)Zhen Xu (1 shared paper)
- Journals
- Annals of Oncology (4 papers)BMJ (2 papers)Archives of Disease in Childhood (1 paper)Obstetric Anesthesia Digest (1 paper)BMJ (1 paper)
In The Last Decade
S.M. Mulla
9 papers receiving 1.2k citations
S.M. Mulla's Hit Papers
Peers
Comparison fields: 5 of 85
- Obstetrics and Gynecology 233
- Hepatology 158
- Statistics, Probability and Uncertainty 136
- Pediatrics, Perinatology and Child Health 154
- Statistics and Probability 118
Countries citing papers authored by S.M. Mulla
This map shows the geographic impact of S.M. Mulla'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 S.M. Mulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.M. Mulla more than expected).
Fields of papers citing papers by S.M. Mulla
This network shows the impact of papers produced by S.M. Mulla. 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 S.M. Mulla. The network helps show where S.M. Mulla may publish in the future.
Co-authors
The 25 scholars most cited alongside S.M. Mulla, 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 | Overweight and obesity in mothers and risk of preterm birth and low birth weight infants: systematic review and meta-analyses Hit paper breakdown → | 2010 | 506 |
| 2 | 2012 | 277 | |
| 3 | 2019 | 176 | |
| 4 | 2020 | 84 | |
| 5 | 2014 | 77 | |
| 6 | 2015 | 56 | |
| 7 | 2014 | 17 | |
| 8 | 2020 | 15 | |
| 9 | 2011 | 4 |
About S.M. Mulla
S.M. Mulla is a scholar working on Statistics, Probability and Uncertainty, Hepatology, Statistics and Probability, Obstetrics and Gynecology and Oncology, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (3 papers), Meta-analysis and systematic reviews (3 papers), Gestational Diabetes Research and Management (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Hepatitis C virus research (1 paper), Cancer survivorship and care (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Obstetrics and Gynecology (233 citations), Hepatology (158 citations), Statistics, Probability and Uncertainty (136 citations), Pediatrics, Perinatology and Child Health (154 citations) and Statistics and Probability (118 citations). S.M. Mulla has collaborated with scholars based in Canada, Germany and China. Frequent co-authors include Joseph Beyene, Zhen Han, Sarah Diana McDonald, Philippe Merle, Sairy Hernandez, Masatoshi Kudo, T.-Y. Kim, Zhen Xu, Peter R. Galle and Ann‐Lii Cheng. Their work appears in journals such as Annals of Oncology, BMJ, Archives of Disease in Childhood, Obstetric Anesthesia Digest and BMJ.
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.