Slama Hmida
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Hematology 34
- Blood groups and transfusion 20
- Hematopoietic Stem Cell Transplantation 10
- Immunology 28
- T-cell and B-cell Immunology 24
- Immune Cell Function and Interaction 10
- Co-authors
- K. Boukef (17 shared papers)Abdelhafidh Hajjej (12 shared papers)Houda Kâabi (28 shared papers)Wassim Y. Almawi (8 shared papers)Amel Ben Ammar Elgaaïed (8 shared papers)Mohamed Béjaoui (8 shared papers)Antonio Arnaiz‐Villena (3 shared papers)M. Maamar (5 shared papers)
In The Last Decade
Slama Hmida
66 papers receiving 873 citations
Peers
Comparison fields: 5 of 93
- Hematology 288
- Immunology 302
- Hepatology 104
- Genetics 132
- Microbiology 53
Countries citing papers authored by Slama Hmida
This map shows the geographic impact of Slama Hmida'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 Slama Hmida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Slama Hmida more than expected).
Fields of papers citing papers by Slama Hmida
This network shows the impact of papers produced by Slama Hmida. 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 Slama Hmida. The network helps show where Slama Hmida may publish in the future.
Co-authors
The 25 scholars most cited alongside Slama Hmida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 82 | |
| 2 | 2018 | 52 | |
| 3 | 1995 | 50 | |
| 4 | 2006 | 46 | |
| 5 | 2020 | 42 | |
| 6 | 2005 | 39 | |
| 7 | 2008 | 39 | |
| 8 | Red cell alloantibodies in patients with haemoglobinopathies. | 1994 | 35 |
| 9 | 2006 | 33 | |
| 10 | 2015 | 23 | |
| 11 | 2011 | 22 | |
| 12 | 2002 | 21 | |
| 13 | 2010 | 20 | |
| 14 | 2006 | 20 | |
| 15 | 2012 | 20 | |
| 16 | 2004 | 20 | |
| 17 | 2008 | 20 | |
| 18 | 2010 | 18 | |
| 19 | 2016 | 17 | |
| 20 | 2019 | 16 |
About Slama Hmida
Slama Hmida is a scholar working on Hematology, Immunology, Genetics, Physiology and Genetics, having authored 71 papers that have together received 912 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (24 papers), Blood groups and transfusion (20 papers), Diabetes and associated disorders (11 papers), Erythrocyte Function and Pathophysiology (10 papers), Immune Cell Function and Interaction (10 papers), Hematopoietic Stem Cell Transplantation (10 papers), Hemoglobinopathies and Related Disorders (9 papers) and Blood donation and transfusion practices (8 papers). The work is most often cited by research in Hematology (288 citations), Immunology (302 citations), Hepatology (104 citations), Genetics (132 citations) and Microbiology (53 citations). Slama Hmida has collaborated with scholars based in Tunisia, France and Nigeria. Frequent co-authors include K. Boukef, Abdelhafidh Hajjej, Houda Kâabi, Wassim Y. Almawi, Amel Ben Ammar Elgaaïed, Mohamed Béjaoui, Antonio Arnaiz‐Villena, M. Maamar, Fethi Mellouli and Afif Ben Salah. Their work appears in journals such as Immunological Investigations, Transfusion Medicine, Human Immunology, Annals of Human Biology and International Journal of Immunogenetics.
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.