Nehad Saada

3.8k total citations
10 papers, 216 citations indexed

About

Nehad Saada is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, Nehad Saada has authored 10 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Infectious Diseases. Recurrent topics in Nehad Saada's work include Ion channel regulation and function (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). Nehad Saada is often cited by papers focused on Ion channel regulation and function (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). Nehad Saada collaborates with scholars based in United States, Brazil and Pakistan. Nehad Saada's co-authors include Philip Palade, Bosong Dai, Konrad Pazdrak, Sushil K. Sarna, Xuan–Zheng Shi, Christine Dettbarn, Sushil K. Sarna, Li Pang, Jorge A. Sánchez and Jing‐Song Fan and has published in prestigious journals such as Gastroenterology, Circulation Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Nehad Saada

10 papers receiving 214 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nehad Saada United States	7	146	91	42	27	25	10	216
Tiziana Giovannini Italy	10	271 1.9×	443 4.9×	29 0.7×	16 0.6×	33 1.3×	16	526
Oscar Díaz-Horta Cuba	12	71 0.5×	44 0.5×	9 0.2×	47 1.7×	143 5.7×	18	326
André M. Leite-Moreira Portugal	7	57 0.4×	60 0.7×	9 0.2×	3 0.1×	9 0.4×	15	130
Yu. V. Doludin Russia	8	90 0.6×	23 0.3×	17 0.4×	2 0.1×	18 0.7×	16	169
J Morgenstern Germany	7	74 0.5×	118 1.3×	46 1.1×	15 0.6×	52 2.1×	33	277
Aaron Glass United States	10	239 1.6×	259 2.8×	28 0.7×	1 0.0×	14 0.6×	15	415
Sarah Groves United Kingdom	4	250 1.7×	42 0.5×	31 0.7×		15 0.6×	8	334
Ahsan U. Shah United States	9	81 0.6×	15 0.2×	23 0.5×	6 0.2×	297 11.9×	10	349
Sven Dittmann Germany	11	233 1.6×	250 2.7×	74 1.8×		37 1.5×	26	391
Maria J. Baier Germany	8	156 1.1×	77 0.8×	20 0.5×		9 0.4×	13	232

Countries citing papers authored by Nehad Saada

Since Specialization

Citations

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

Fields of papers citing papers by Nehad Saada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nehad Saada

This figure shows the co-authorship network connecting the top 25 collaborators of Nehad Saada. A scholar is included among the top collaborators of Nehad Saada 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 Nehad Saada. Nehad Saada 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

Machado, Rafael Rahal Guaragna, Brooke Mitchell, Allan McConnell, et al.. (2022). A Comparison of Seegene Technologies Novaplex SARS-CoV-2 Variants I, II, and IV Assays with Spike Gene Sequencing for Detection of Known Severe Acute Respiratory Syndrome Coronavirus 2 Variants. Journal of Molecular Diagnostics. 24(5). 455–461. 8 indexed citations

Plante, Jessica A., Rafael Rahal Guaragna Machado, Brooke Mitchell, et al.. (2022). Vaccination Decreases the Infectious Viral Load of Delta Variant SARS-CoV-2 in Asymptomatic Patients. Viruses. 14(9). 2071–2071. 6 indexed citations

Campos, Rafael K., et al.. (2021). SARS-CoV-2 decontamination of skin with disinfectants active during and after application. Journal of Hospital Infection. 111. 35–39. 3 indexed citations

Saada, Nehad, et al.. (2019). Un très mauvais voyage. La Revue de Médecine Interne. 40(8). 553–556. 3 indexed citations

Saada, Nehad, et al.. (2006). Vascular-Specific Increase in Exon 1b-Encoded CaV1.2 Channels in Spontaneously Hypertensive Rats. American Journal of Hypertension. 19(8). 823–831. 16 indexed citations

Saada, Nehad, et al.. (2005). Expression of multiple CaV1.2 transcripts in rat tissues mediated by different promoters. Cell Calcium. 37(4). 301–309. 23 indexed citations

Shi, Xuan–Zheng, Konrad Pazdrak, Nehad Saada, et al.. (2005). Negative Transcriptional Regulation of Human Colonic Smooth Muscle Cav1.2 Channels by p50 and p65 Subunits of Nuclear Factor-κB. Gastroenterology. 129(5). 1518–1532. 64 indexed citations

Saada, Nehad, et al.. (2003). Smooth muscle uses another promoter to express primarily a form of human CaV1.2 L-type calcium channel different from the principal heart form. Biochemical and Biophysical Research Communications. 302(1). 23–28. 37 indexed citations

Dai, Bosong, et al.. (2002). A new promoter for α1C subunit of human L-type cardiac calcium channel CaV1.2. Biochemical and Biophysical Research Communications. 296(2). 429–433. 35 indexed citations

10.

Fan, Jing‐Song, et al.. (2001). Ras Reduces L-Type Calcium Channel Current in Cardiac Myocytes. Circulation Research. 88(1). 63–69. 21 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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