Zvi Ram

22.6k total citations · 4 hit papers
222 papers, 12.5k citations indexed

About

Zvi Ram is a scholar working on Genetics, Epidemiology and Neurology. According to data from OpenAlex, Zvi Ram has authored 222 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Genetics, 61 papers in Epidemiology and 47 papers in Neurology. Recurrent topics in Zvi Ram's work include Glioma Diagnosis and Treatment (102 papers), Meningioma and schwannoma management (49 papers) and Brain Metastases and Treatment (36 papers). Zvi Ram is often cited by papers focused on Glioma Diagnosis and Treatment (102 papers), Meningioma and schwannoma management (49 papers) and Brain Metastases and Treatment (36 papers). Zvi Ram collaborates with scholars based in Israel, United States and Germany. Zvi Ram's co-authors include Edward H. Oldfield, R. Michael Blaese, Kenneth W. Culver, Moshe Hadani, Manfred Westphal, Hiroyuki Ishii, Enoch Bortey, Dana Hilt, Stuart Walbridge and Peter C. Warnke and has published in prestigious journals such as Science, Nature Medicine and Nature Communications.

In The Last Decade

Zvi Ram

220 papers receiving 12.2k citations

Hit Papers

In Vivo Gene Transfer with Retroviral Vector-Producer Cel... 1992 2026 2003 2014 1992 2003 2014 1997 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zvi Ram Israel 54 4.3k 3.6k 2.6k 2.3k 1.9k 222 12.5k
Manish K. Aghi United States 59 4.1k 0.9× 3.5k 1.0× 1.3k 0.5× 3.2k 1.4× 2.3k 1.2× 317 12.1k
Peter Forsyth United States 71 5.6k 1.3× 4.8k 1.3× 3.0k 1.2× 1.9k 0.8× 4.4k 2.3× 251 15.8k
Frederick F. Lang United States 67 8.7k 2.0× 5.9k 1.6× 2.1k 0.8× 2.9k 1.3× 5.1k 2.7× 282 18.1k
Manfred Westphal Germany 65 8.0k 1.8× 5.9k 1.6× 880 0.3× 2.0k 0.9× 3.1k 1.6× 434 18.6k
Ian F. Pollack United States 71 7.9k 1.8× 5.1k 1.4× 1.4k 0.5× 2.0k 0.9× 3.1k 1.6× 381 16.6k
Gabriele Schackert Germany 55 4.7k 1.1× 4.1k 1.1× 569 0.2× 1.2k 0.5× 1.9k 1.0× 343 12.3k
Gregory N. Fuller United States 77 7.1k 1.6× 8.0k 2.2× 1.2k 0.5× 1.8k 0.8× 5.0k 2.6× 416 20.2k
Charles G. Eberhart United States 75 6.9k 1.6× 13.6k 3.8× 1.8k 0.7× 1.5k 0.7× 4.0k 2.1× 426 23.2k
Vito Pistoia Italy 64 5.5k 1.3× 5.3k 1.5× 995 0.4× 1.2k 0.5× 3.9k 2.0× 320 18.1k
Fred H. Hochberg United States 74 7.5k 1.7× 8.8k 2.4× 1.2k 0.5× 1.6k 0.7× 2.8k 1.4× 218 22.2k

Countries citing papers authored by Zvi Ram

Since Specialization
Citations

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

Fields of papers citing papers by Zvi Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zvi Ram

This figure shows the co-authorship network connecting the top 25 collaborators of Zvi Ram. A scholar is included among the top collaborators of Zvi Ram 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 Zvi Ram. Zvi Ram 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.
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
2.
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
3.
Paradossi, Gaio, et al.. (2023). Toward a theranostic device for gliomas. Biochemical and Biophysical Research Communications. 671. 124–131. 2 indexed citations
4.
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
5.
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
6.
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
7.
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
8.
Ram, Zvi, et al.. (2017). Identification of subsets of tumor infiltrating lymphocytes in primary brain tumors using multi-color panel flow cytometry. Annals of Oncology. 28. xi25–xi25. 1 indexed citations
9.
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
10.
Nossek, Erez, Idit Matot, Tal Shahar, et al.. (2012). Failed awake craniotomy: a retrospective analysis in 424 patients undergoing craniotomy for brain tumor. Journal of neurosurgery. 118(2). 243–249. 142 indexed citations
11.
Margalit, Nevo, et al.. (2012). [The effect of platelet transfusion on traumatic intracranial hemorrhage among patients treated with aspirin].. PubMed. 151(1). 29–33, 62, 61. 1 indexed citations
12.
Ofek, Efrat, Marina Perelman, Jozef Škarda, et al.. (2009). The Expression of Three Genes in Primary Non–Small Cell Lung Cancer Is Associated with Metastatic Spread to the Brain. Clinical Cancer Research. 15(5). 1755–1761. 134 indexed citations
13.
Nossek, Erez, Dafna Ben Bashat, Moran Artzi, et al.. (2009). The role of advanced MR methods in the diagnosis of cerebral amyloidoma. Amyloid. 16(2). 94–98. 7 indexed citations
14.
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
15.
Cohen, Zvi R., Sagi Harnof, Yael Mardor, et al.. (2007). MAGNETIC RESONANCE IMAGING-GUIDED FOCUSED ULTRASOUND FOR THERMAL ABLATION IN THE BRAIN. Neurosurgery. 60(4). 593–600. 53 indexed citations
16.
Ram, Zvi, Zvi R. Cohen, Sagi Harnof, et al.. (2006). MAGNETIC RESONANCE IMAGING-GUIDED, HIGH-INTENSITY FOCUSED ULTRASOUND FOR BRAIN TUMOR THERAPY. Neurosurgery. 59(5). 949–956. 162 indexed citations
17.
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
18.
Berkenstadt, Haim & Zvi Ram. (2001). Monitored anesthesia care in awake craniotomy for brain tumor surgery.. PubMed. 3(4). 297–300. 9 indexed citations
19.
Viola, John J., Zvi Ram, Stuart Walbridge, et al.. (1995). Adenovirally mediated gene transfer into experimental solid brain tumors and leptomeningeal cancer cells. Journal of neurosurgery. 82(1). 70–76. 51 indexed citations
20.
Samid, Dvorit, Zvi Ram, W. Robert Hudgins, et al.. (1994). Selective activity of phenylacetate against malignant gliomas: resemblance to fetal brain damage in phenylketonuria.. PubMed. 54(4). 891–5. 99 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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