Sahl Khalid Bedri

497 total citations
10 papers, 221 citations indexed

About

Sahl Khalid Bedri is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Sahl Khalid Bedri has authored 10 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Sahl Khalid Bedri's work include Multiple Sclerosis Research Studies (4 papers), Immunotherapy and Immune Responses (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Sahl Khalid Bedri is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Immunotherapy and Immune Responses (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Sahl Khalid Bedri collaborates with scholars based in Sweden, United States and Slovakia. Sahl Khalid Bedri's co-authors include Marian J. Evinger, James F. Powers, Panayiotis Tsokas, Joseph Alroy, Arthur S. Tischler, Jan Hillert, Virginija Danylaité Karrenbauer, Ali Manouchehrinia, Anna Glaser and Ingrid Kockum and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Sahl Khalid Bedri

9 papers receiving 216 citations

Peers

Sahl Khalid Bedri

CR

SURGE

MB

NEURO

PFM

D Royston Ireland

Dabiao Zhou China

Michelle Saul United States

Shengyue Huang China

Liqian Xie China

Laís Moraes Brazil

Zita Reisz Hungary

Irene Valenzuela Spain

Mengge Yang China

Lori Ramkissoon United States

D Royston Ireland

Sahl Khalid Bedri

27 ×0.4

CR

64 ×1.0

SURGE

94 ×1.6

MB

22 ×0.4

NEURO

55 ×1.3

PFM

Citations per year, relative to Sahl Khalid Bedri Sahl Khalid Bedri (= 1×) peers D Royston

Countries citing papers authored by Sahl Khalid Bedri

Since Specialization

Citations

This map shows the geographic impact of Sahl Khalid Bedri'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 Sahl Khalid Bedri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sahl Khalid Bedri more than expected).

Fields of papers citing papers by Sahl Khalid Bedri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sahl Khalid Bedri. 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 Sahl Khalid Bedri. The network helps show where Sahl Khalid Bedri may publish in the future.

Co-authorship network of co-authors of Sahl Khalid Bedri

This figure shows the co-authorship network connecting the top 25 collaborators of Sahl Khalid Bedri. A scholar is included among the top collaborators of Sahl Khalid Bedri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sahl Khalid Bedri. Sahl Khalid Bedri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Bedri, Sahl Khalid, Björn Evertsson, Mohsen Khademi, et al.. (2022). Copy number variations across the blood–brain barrier in multiple sclerosis. Annals of Clinical and Translational Neurology. 9(7). 962–976. 1 indexed citations

2.

Karrenbauer, Virginija Danylaité, Sahl Khalid Bedri, Jan Hillert, & Ali Manouchehrinia. (2021). Cerebrospinal fluid oligoclonal immunoglobulin gamma bands and long-term disability progression in multiple sclerosis: a retrospective cohort study. Scientific Reports. 11(1). 14987–14987. 22 indexed citations

3.

Kharlamova, Nastya, Nicky Dunn, Sahl Khalid Bedri, et al.. (2021). False Positive Results in SARS-CoV-2 Serological Tests for Samples From Patients With Chronic Inflammatory Diseases. Frontiers in Immunology. 12. 666114–666114. 19 indexed citations

4.

Guerreiro‐Cacais, André Ortlieb, Sahl Khalid Bedri, Mathias Linnerbauer, et al.. (2019). IL-22 Binding Protein Promotes the Disease Process in Multiple Sclerosis. The Journal of Immunology. 203(4). 888–898. 16 indexed citations

5.

Bedri, Sahl Khalid, Ola B. Nilsson, Katharina Fink, et al.. (2019). Plasma protein profiling reveals candidate biomarkers for multiple sclerosis treatment. PLoS ONE. 14(5). e0217208–e0217208. 11 indexed citations

6.

Bedri, Sahl Khalid, Katharina Fink, Ali Manouchehrinia, et al.. (2017). Multiple sclerosis treatment effects on plasma cytokine receptor levels. Clinical Immunology. 187. 15–25. 5 indexed citations

7.

Sundal, Christina, Matt Baker, Virginija Danylaité Karrenbauer, et al.. (2014). Hereditary diffuse leukoencephalopathy with spheroids with phenotype of primary progressive multiple sclerosis. European Journal of Neurology. 22(2). 328–333. 34 indexed citations

8.

Husain, Nazik Elmalaika, et al.. (2011). Cervical cancer in women diagnosed at the National Health Laboratory, Sudan: A call for screening. Sudan Journal of Medical Sciences. 6(3). 183–190. 9 indexed citations

9.

Bedri, Sahl Khalid, et al.. (2006). 24.04. Journal of Nuclear Cardiology. 13(4). S24–S24.

10.

Powers, James F., Marian J. Evinger, Panayiotis Tsokas, et al.. (2000). Pheochromocytoma cell lines from heterozygous neurofibromatosis knockout mice. Cell and Tissue Research. 302(3). 309–320. 104 indexed citations

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.

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