Nada H. Khattar

23 total papers · 990 total citations
21 papers, 790 citations indexed

About

Nada H. Khattar is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Nada H. Khattar has authored 21 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Nada H. Khattar's work include Biochemical and Molecular Research (6 papers), Genetic factors in colorectal cancer (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Nada H. Khattar is often cited by papers focused on Biochemical and Molecular Research (6 papers), Genetic factors in colorectal cancer (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Nada H. Khattar collaborates with scholars based in United States, Malaysia and Japan. Nada H. Khattar's co-authors include Edward A. Hirschowitz, Arnold J. Stromberg, Li Zhong, James R. Jett, Maura Pieretti, Hiroaki Murata, Liya Gu, Guo‐Min Li, Mitchell S. Turker and Simon A. Smith and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Oncogene.

In The Last Decade

Nada H. Khattar

21 papers receiving 773 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nada H. Khattar	455	207	200	157	151	21	790
J. M. G. Bonfrer	257 0.6×	129 0.6×	203 1.0×	103 0.7×	52 0.3×	25	671
Fraser L. Baker	307 0.7×	166 0.8×	217 1.1×	37 0.2×	64 0.4×	29	710
Henrik Winther	305 0.7×	68 0.3×	312 1.6×	153 1.0×	50 0.3×	28	869
L Deneux	378 0.8×	130 0.6×	343 1.7×	316 2.0×	42 0.3×	17	837
Ellen N. Spremulli	255 0.6×	144 0.7×	259 1.3×	46 0.3×	66 0.4×	25	687
Victor Renault	293 0.6×	114 0.6×	139 0.7×	118 0.8×	83 0.5×	24	719
Toan D. Nguyen	242 0.5×	154 0.7×	325 1.6×	95 0.6×	45 0.3×	24	840
Patrick B. Lappin	291 0.6×	127 0.6×	174 0.9×	136 0.9×	53 0.4×	26	672
W. Linden	303 0.7×	85 0.4×	235 1.2×	32 0.2×	147 1.0×	26	778
Gabriel Krigsfeld	339 0.7×	170 0.8×	156 0.8×	79 0.5×	34 0.2×	19	687

Countries citing papers authored by Nada H. Khattar

Since Specialization

Citations

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

Fields of papers citing papers by Nada H. Khattar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nada H. Khattar. 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 Nada H. Khattar. The network helps show where Nada H. Khattar may publish in the future.

Co-authorship network of co-authors of Nada H. Khattar

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

All Works

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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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