Rachel Grossman

2.2k total citations
64 papers, 1.5k citations indexed

About

Rachel Grossman is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Rachel Grossman has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 15 papers in Pulmonary and Respiratory Medicine and 15 papers in Epidemiology. Recurrent topics in Rachel Grossman's work include Glioma Diagnosis and Treatment (18 papers), Meningioma and schwannoma management (12 papers) and Brain Metastases and Treatment (9 papers). Rachel Grossman is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), Meningioma and schwannoma management (12 papers) and Brain Metastases and Treatment (9 papers). Rachel Grossman collaborates with scholars based in Israel, United States and Italy. Rachel Grossman's co-authors include Zvi Ram, Henry Brem, Anat Biegon, Roberto Spiegelmann, Ronit Satchi‐Fainaro, Alfredo Quiñones‐Hinojosa, David C. Chang, Debraj Mukherjee, Eilam Yeini and Galia Tiram and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Rachel Grossman

59 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel Grossman Israel 23 370 307 262 241 212 64 1.5k
Eelco W. Hoving Netherlands 23 419 1.1× 369 1.2× 287 1.1× 139 0.6× 121 0.6× 119 1.7k
Xiaoyuan Feng China 23 381 1.0× 183 0.6× 229 0.9× 210 0.9× 103 0.5× 106 1.5k
Amadé Bregy United States 24 652 1.8× 410 1.3× 366 1.4× 195 0.8× 154 0.7× 53 1.7k
Antonio Melcarne Italy 22 447 1.2× 314 1.0× 240 0.9× 125 0.5× 80 0.4× 62 1.3k
Dar‐Ming Lai Taiwan 22 315 0.9× 357 1.2× 200 0.8× 223 0.9× 187 0.9× 71 1.8k
D. Ryan Ormond United States 21 398 1.1× 190 0.6× 241 0.9× 74 0.3× 161 0.8× 78 1.3k
Jacob S. Young United States 25 798 2.2× 340 1.1× 268 1.0× 212 0.9× 247 1.2× 125 2.0k
Arne Fischmann Switzerland 21 341 0.9× 812 2.6× 174 0.7× 195 0.8× 157 0.7× 49 1.8k
Xinguang Yu China 22 241 0.7× 474 1.5× 244 0.9× 121 0.5× 92 0.4× 96 1.5k

Countries citing papers authored by Rachel Grossman

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Grossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Grossman

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

All Works

20 of 20 papers shown
1.
Paradossi, Gaio, et al.. (2025). Toward a Theranostic Approach for the Brain Tumor Toxicity Profile of Polymer-Shelled Microbubbles. ACS Omega. 10(5). 4486–4495.
2.
Goldbrunner, Roland, Nikolaos Foroglou, Francesco Signorelli, et al.. (2025). EANS-EANO guidelines on the extent of resection in gliomas. Neuro-Oncology. 28(1). 38–54.
3.
Duerinck, Johnny, Philipp Karschnia, Marike L. D. Broekman, et al.. (2024). Addressing the role of surgery in brain tumour trials: A report from the neurosurgery committee of the EORTC brain tumour group. European Journal of Cancer. 216. 115198–115198. 2 indexed citations
4.
Eran, Ayelet, et al.. (2024). Unveiling the vulnerability of the human abducens nerve: insights from comparative cranial base anatomy in mammals and primates. Frontiers in Neuroanatomy. 18. 1383126–1383126. 2 indexed citations
5.
Ofek, Paula, Eilam Yeini, Gali Arad, et al.. (2023). Deoxyhypusine hydroxylase: A novel therapeutic target differentially expressed in short‐term vs long‐term survivors of glioblastoma. International Journal of Cancer. 153(3). 654–668. 6 indexed citations
6.
Brenner, Baruch, Michal Yalon, Zohar Levi, et al.. (2023). A Highly Sensitive Flow Cytometric Approach to Detect Rare Antigen-Specific T Cells: Development and Comparison to Standard Monitoring Tools. Cancers. 15(3). 574–574. 2 indexed citations
7.
Paradossi, Gaio, et al.. (2023). Toward a theranostic device for gliomas. Biochemical and Biophysical Research Communications. 671. 124–131. 2 indexed citations
8.
Shofty, Ben, et al.. (2022). Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases. Journal of Neuro-Oncology. 157(1). 63–69. 20 indexed citations
9.
Shimony, Nir, et al.. (2021). Endoscopic transsphenoidal surgery reduces the need for re-operation compared to the microscopic approach in pituitary macroadenomas. European Journal of Surgical Oncology. 47(6). 1352–1356. 7 indexed citations
10.
Yeini, Eilam, Paula Ofek, Sabina Pozzi, et al.. (2021). P-selectin axis plays a key role in microglia immunophenotype and glioblastoma progression. Nature Communications. 12(1). 1912–1912. 56 indexed citations
11.
Arad, Gali, Paula Ofek, Eilam Yeini, et al.. (2021). Proteogenomics of glioblastoma associates molecular patterns with survival. Cell Reports. 34(9). 108787–108787. 34 indexed citations
12.
Oddo, Letizia, Gaio Paradossi, Barbara Cerroni, et al.. (2019). In Vivo Biodistribution of Engineered Lipid Microbubbles in Rodents. ACS Omega. 4(8). 13371–13381. 10 indexed citations
13.
Paradossi, Gaio, Letizia Oddo, Barbara Cerroni, et al.. (2019). In Vivo Toxicity Study of Engineered Lipid Microbubbles in Rodents. ACS Omega. 4(3). 5526–5533. 14 indexed citations
14.
Shofty, Ben, et al.. (2019). Valve Failure in Ventriculoperitoneal Shunts of Neuro-Oncologic Patients: A Historical Cohort Study. World Neurosurgery. 128. e329–e333. 4 indexed citations
15.
Volovitz, Ilan, Ori Barzilai, Tal Shahar, et al.. (2016). A non-aggressive, highly efficient, enzymatic method for dissociation of human brain-tumors and brain-tissues to viable single-cells. BMC Neuroscience. 17(1). 30–30. 41 indexed citations
16.
Grossman, Rachel, Debraj Mukherjee, David C. Chang, et al.. (2011). Preoperative Charlson Comorbidity Score Predicts Postoperative Outcomes Among Older Intracranial Meningioma Patients. World Neurosurgery. 75(2). 279–285. 92 indexed citations
17.
Grossman, Rachel, et al.. (2007). Control of postoperative pain after awake craniotomy with local intradermal analgesia and metamizol.. PubMed. 9(5). 380–2. 12 indexed citations
18.
Peles, Einat, Zvi Lidar, Anthony Simon, et al.. (2004). Angiogenic Factors in the Cerebrospinal Fluid of Patients with Astrocytic Brain Tumors. Neurosurgery. 55(3). 562–568. 52 indexed citations
19.
20.
McAfee, Tim, et al.. (2002). Capturing tobacco status using an automated billing system: steps toward a tobacco registry. Nicotine & Tobacco Research. 4(1). 31–37. 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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