I Givol

10 total papers · 582 total citations
10 papers, 517 citations indexed

About

I Givol is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, I Givol has authored 10 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in I Givol's work include Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer-related Molecular Pathways (2 papers) and Multiple Myeloma Research and Treatments (2 papers). I Givol is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer-related Molecular Pathways (2 papers) and Multiple Myeloma Research and Treatments (2 papers). I Givol collaborates with scholars based in United States, Sweden and Israel. I Givol's co-authors include Yoshihide Tsujimoto, Stephen H. Hughes, Mark J. Federspiel, Janet Schaefer-Klein, Matthew W. VanBrocklin, Douglas N. Foster, Eugene V. Barsov, Jeannette M. Whitcomb, Muhammad M. Bashir and Elaine S. Jaffe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Oncogene.

In The Last Decade

I Givol

10 papers receiving 510 citations

Author Peers

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

Author						Papers	Cites
I Givol	286	138	111	109	108	10	517
Tamara Tripic	334 1.2×	221 1.6×	162 1.5×	103 0.9×	45 0.4×	9	594
Dona N. Ho	247 0.9×	136 1.0×	53 0.5×	84 0.8×	67 0.6×	18	483
SM Baird	168 0.6×	102 0.7×	309 2.8×	118 1.1×	129 1.2×	14	595
M. Stewart	361 1.3×	184 1.3×	160 1.4×	197 1.8×	54 0.5×	16	611
CC Uphoff	234 0.8×	193 1.4×	142 1.3×	31 0.3×	114 1.1×	12	586
Axel Rosendahl Huber	250 0.9×	185 1.3×	71 0.6×	87 0.8×	45 0.4×	16	512
Susan M. Cleveland	185 0.6×	108 0.8×	128 1.2×	77 0.7×	32 0.3×	19	462
John M. Cowan	251 0.9×	143 1.0×	39 0.4×	104 1.0×	39 0.4×	8	504
S Gisselbrecht	228 0.8×	70 0.5×	140 1.3×	123 1.1×	47 0.4×	22	523
Irene Ivhed	287 1.0×	91 0.7×	177 1.6×	58 0.5×	48 0.4×	12	556

Countries citing papers authored by I Givol

Since Specialization

Citations

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

Fields of papers citing papers by I Givol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I Givol

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