Muhammad Atif
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
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- Liver Diseases and Immunity
Papers in
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- T-cell and B-cell Immunology 2
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- Renal Transplantation Outcomes and Treatments 1
- Co-authors
- Ye Htun Oo (3 shared papers)Makoto Miyara (3 shared papers)Filoména Conti (5 shared papers)Guy Gorochov (2 shared papers)Nathali Grageda (1 shared paper)Daniela Mastronicola (1 shared paper)Giovanni A. M. Povoleri (1 shared paper)Cristiano Scottà (1 shared paper)
- Journals
- Disease Models & Mechanisms (1 paper)Frontiers in Immunology (1 paper)European Journal of Immunology (1 paper)American Journal of Transplantation (1 paper)Clinical & Translational Immunology (1 paper)
- Partner nations
- FranceUnited KingdomItaly
In The Last Decade
Muhammad Atif
12 papers receiving 328 citations
Peers
Comparison fields: 5 of 30
- Transplantation 16
- Hepatology 37
- Immunology 70
- Hematology 23
- Obstetrics and Gynecology 13
Countries citing papers authored by Muhammad Atif
This map shows the geographic impact of Muhammad Atif'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 Muhammad Atif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Atif more than expected).
Fields of papers citing papers by Muhammad Atif
This network shows the impact of papers produced by Muhammad Atif. 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 Muhammad Atif. The network helps show where Muhammad Atif may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Atif, 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 | 2020 | 69 | |
| 2 | 2020 | 63 | |
| 3 | 2019 | 31 | |
| 4 | 2018 | 30 | |
| 5 | 2013 | 29 | |
| 6 | 2016 | 28 | |
| 7 | 2020 | 26 | |
| 8 | 2020 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2021 | 16 | |
| 11 | Clinical characteristics, management and outcome of major pulmonary embolism: an experience from a tertiary care center in Pakistan. | 2009 | 4 |
| 12 | 2020 | 3 |
About Muhammad Atif
Muhammad Atif is a scholar working on Immunology, Transplantation, Internal Medicine, Hepatology and Obstetrics and Gynecology, having authored 12 papers that have together received 333 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Pregnancy and preeclampsia studies (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Liver Diseases and Immunity (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Thyroid Disorders and Treatments (1 paper) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Transplantation (16 citations), Hepatology (37 citations), Immunology (70 citations), Hematology (23 citations) and Obstetrics and Gynecology (13 citations). Muhammad Atif has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Ye Htun Oo, Makoto Miyara, Filoména Conti, Guy Gorochov, Nathali Grageda, Daniela Mastronicola, Giovanni A. M. Povoleri, Cristiano Scottà, Olivier Scatton and Alessandra Mazzola. Their work appears in journals such as Disease Models & Mechanisms, Frontiers in Immunology, European Journal of Immunology, American Journal of Transplantation and Clinical & Translational Immunology.
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.