Mahmoud Gaballa

888 citations
25 papers · 364 indexed · h-index 7
Topics
CAR-T cell therapy research (14 papers)Multiple Myeloma Research and Treatments (13 papers)Protein Degradation and Inhibitors (6 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
Partner nations
United StatesJapanFrance

In The Last Decade

Mahmoud Gaballa

20 papers receiving 348 citations

Peers

Mahmoud Gaballa
Comparison fields: 5 of 79
  • Molecular Biology 97
  • Endocrinology, Diabetes and Metabolism 88
  • Physiology 76
  • Oncology 62
  • Hematology 54
Replace Kang Seo Park with:
Kang Seo Park South Korea
T. C. Wascher Austria
Habib Bilen Türkiye
Ageliki Laina Greece
Adlija Čaušević Bosnia and Herzegovina
Mara Rogazzo Italy
Jorge Plutzky United States
Sara Cherchi Italy
Ibrahim AlZaim Lebanon
Erhan Onuk Türkiye
Mahmoud Gaballa relative to Kang Seo Park South Korea Kang Seo Park's profile →
Citations per field
00.5×1.5×2.1×
Kang Seo Park · 1×
Citations per year

Countries citing papers authored by Mahmoud Gaballa

Since Specialization
Citations

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

Fields of papers citing papers by Mahmoud Gaballa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahmoud Gaballa. 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 Mahmoud Gaballa. The network helps show where Mahmoud Gaballa may publish in the future.

Co-authorship network of co-authors of Mahmoud Gaballa

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmoud Gaballa. A scholar is included among the top collaborators of Mahmoud Gaballa 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 Mahmoud Gaballa. Mahmoud Gaballa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 2
5 0
6 4
7 0
8 3
9 1
10 0
11 0
12 5
13 1
14 1
15 19
16 4
17 6
18 21
19 24
20 238

About Mahmoud Gaballa

Mahmoud Gaballa is a scholar working on Hematology, Oncology and Genetics, having authored 25 papers that have together received 364 indexed citations. Recurring topics across this work include CAR-T cell therapy research (14 papers), Multiple Myeloma Research and Treatments (13 papers) and Protein Degradation and Inhibitors (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (88 citations), Hematology (54 citations) and Physiology (76 citations). Mahmoud Gaballa has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Youssef Farag, Emmanuel C. Besa, Matthew J. Frigault, Carlos A. Ramos, Areej El‐Jawahri, Nikhil C. Munshi, P. Connor Johnson, Kenneth C. Anderson, Robert Schlossman and Irene M. Ghobrial. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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