Hadas Grossman

23 total papers · 558 total citations
17 papers, 466 citations indexed

About

Hadas Grossman is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Hadas Grossman has authored 17 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Reproductive Medicine. Recurrent topics in Hadas Grossman's work include Reproductive Biology and Fertility (7 papers), Endometriosis Research and Treatment (4 papers) and MicroRNA in disease regulation (4 papers). Hadas Grossman is often cited by papers focused on Reproductive Biology and Fertility (7 papers), Endometriosis Research and Treatment (4 papers) and MicroRNA in disease regulation (4 papers). Hadas Grossman collaborates with scholars based in Israel, United States and Spain. Hadas Grossman's co-authors include Ruth Shalgi, Dana Chuderland, Noa Hasky, Noam Shomron, Raphaël Ron-El, Mattan Levi, Ido Ben‐Ami, Irit Ben‐Aharon, Salomon M. Stemmer and Aviv Shaish and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Hadas Grossman

16 papers receiving 463 citations

Author Peers

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

Author Last Decade Papers Cites
Hadas Grossman 199 153 150 116 114 17 466
Ok‐Hee Lee 216 1.1× 127 0.8× 174 1.2× 76 0.7× 75 0.7× 26 506
Xi Dong 192 1.0× 98 0.6× 119 0.8× 112 1.0× 93 0.8× 24 495
Sharon L. Eddie 179 0.9× 167 1.1× 162 1.1× 44 0.4× 79 0.7× 17 465
Chunfeng Qian 218 1.1× 119 0.8× 246 1.6× 59 0.5× 84 0.7× 13 421
Kengo Manase 108 0.5× 287 1.9× 225 1.5× 70 0.6× 75 0.7× 19 531
Bhola Shankar Pradhan 198 1.0× 154 1.0× 93 0.6× 27 0.2× 125 1.1× 18 484
Laura Marzona 218 1.1× 146 1.0× 244 1.6× 38 0.3× 60 0.5× 21 496
Yibing Han 203 1.0× 174 1.1× 146 1.0× 57 0.5× 65 0.6× 27 463
Karl Kam Hei So 253 1.3× 74 0.5× 58 0.4× 117 1.0× 130 1.1× 17 442
M Tamura 192 1.0× 194 1.3× 110 0.7× 41 0.4× 100 0.9× 23 529

Countries citing papers authored by Hadas Grossman

Since Specialization
Citations

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

Fields of papers citing papers by Hadas Grossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hadas Grossman

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