Hadar Sharfi

2.3k total citations · 1 hit paper
5 papers, 812 citations indexed

About

Hadar Sharfi is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Hadar Sharfi has authored 5 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Surgery. Recurrent topics in Hadar Sharfi's work include Cancer, Hypoxia, and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Mitochondrial Function and Pathology (2 papers). Hadar Sharfi is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Mitochondrial Function and Pathology (2 papers). Hadar Sharfi collaborates with scholars based in United States, Israel and Canada. Hadar Sharfi's co-authors include Lewis C. Cantley, Matthew G. Vander Heiden, Heather R. Christofk, Joshua D. Rabinowitz, Daniel Amador‐Noguez, Jason W. Locasale, Gerhard Wagner, John M. Asara, Kenneth D. Swanson and Hagit Eldar-Finkelman and has published in prestigious journals such as Science, Biochemical Pharmacology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Hadar Sharfi

5 papers receiving 796 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evidence for an alternative glycolytic pathway in rapidly proliferating cells

2010 509 citations Matthew G. Vander Heiden, Jason W. Locasale et al. Europe PMC (PubMed Central) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hadar Sharfi United States	5	638	494	80	69	52	5	812
Veerle W. Daniëls United States	7	591 0.9×	553 1.1×	112 1.4×	27 0.4×	48 0.9×	8	906
Gina N. Alesi United States	7	612 1.0×	474 1.0×	148 1.9×	33 0.5×	61 1.2×	9	898
Eric L. Allen United States	5	883 1.4×	593 1.2×	138 1.7×	65 0.9×	33 0.6×	5	1.1k
Yakir Guri Switzerland	7	567 0.9×	251 0.5×	113 1.4×	39 0.6×	64 1.2×	8	778
Lou Baudrier United States	7	642 1.0×	503 1.0×	111 1.4×	53 0.8×	43 0.8×	10	890
Dmitri Dvorzhinski United States	7	423 0.7×	260 0.5×	97 1.2×	38 0.6×	42 0.8×	10	636
Zhenyang Jiang China	5	600 0.9×	424 0.9×	161 2.0×	48 0.7×	75 1.4×	8	853
Thibaut Vazeille Belgium	12	681 1.1×	545 1.1×	172 2.1×	74 1.1×	42 0.8×	13	954
Portia S. Lombardo United States	3	500 0.8×	451 0.9×	71 0.9×	49 0.7×	29 0.6×	3	727

Countries citing papers authored by Hadar Sharfi

Since Specialization

Citations

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

Fields of papers citing papers by Hadar Sharfi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hadar Sharfi

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

All Works

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5 of 5 papers shown

1.

Miraldi, Emily R., Hadar Sharfi, Randall H. Friedline, et al.. (2013). Molecular network analysis of phosphotyrosine and lipid metabolism in hepatic PTP1b deletion mice. Integrative Biology. 5(7). 940–940. 17 indexed citations

2.

Heiden, Matthew G. Vander, Jason W. Locasale, Kenneth D. Swanson, et al.. (2010). Evidence for an Alternative Glycolytic Pathway in Rapidly Proliferating Cells. Science. 329(5998). 1492–1499. 31 indexed citations

3.

Heiden, Matthew G. Vander, Jason W. Locasale, Kenneth D. Swanson, et al.. (2010). Evidence for an alternative glycolytic pathway in rapidly proliferating cells. Europe PMC (PubMed Central). 509 indexed citations breakdown →

4.

Heiden, Matthew G. Vander, Heather R. Christofk, Eli Schuman, et al.. (2009). Identification of small molecule inhibitors of pyruvate kinase M2. Biochemical Pharmacology. 79(8). 1118–1124. 201 indexed citations

5.

Sharfi, Hadar & Hagit Eldar-Finkelman. (2007). Sequential phosphorylation of insulin receptor substrate-2 by glycogen synthase kinase-3 and c-Jun NH₂-terminal kinase plays a role in hepatic insulin signaling. American Journal of Physiology-Endocrinology and Metabolism. 294(2). E307–E315. 54 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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