Neta Goldschmidt

342 total papers · 7.4k total citations
96 papers, 1.4k citations indexed

About

Neta Goldschmidt is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology. According to data from OpenAlex, Neta Goldschmidt has authored 96 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Pathology and Forensic Medicine, 40 papers in Genetics and 28 papers in Oncology. Recurrent topics in Neta Goldschmidt's work include Lymphoma Diagnosis and Treatment (44 papers), Chronic Lymphocytic Leukemia Research (28 papers) and CNS Lymphoma Diagnosis and Treatment (20 papers). Neta Goldschmidt is often cited by papers focused on Lymphoma Diagnosis and Treatment (44 papers), Chronic Lymphocytic Leukemia Research (28 papers) and CNS Lymphoma Diagnosis and Treatment (20 papers). Neta Goldschmidt collaborates with scholars based in Israel, United States and Germany. Neta Goldschmidt's co-authors include Tali Siegal, Moshe E. Gatt, Ora Paltiel, Alexander Gural, Osnat Bairey, Tamar Tadmor, Lev Shvidel, Batia Avni, David Varon and Rosa Ruchlemer and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Neta Goldschmidt

92 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Neta Goldschmidt 510 419 354 330 267 96 1.4k
Maria Cantonetti 571 1.1× 307 0.7× 279 0.8× 377 1.1× 209 0.8× 84 1.2k
Carlos Panizo 534 1.0× 393 0.9× 283 0.8× 459 1.4× 252 0.9× 92 1.5k
Megan O. Nakashima 390 0.8× 371 0.9× 372 1.1× 174 0.5× 283 1.1× 54 1.5k
Jae‐Yong Kwak 465 0.9× 261 0.6× 298 0.8× 396 1.2× 233 0.9× 113 1.3k
Batia Avni 241 0.5× 298 0.7× 396 1.1× 442 1.3× 414 1.6× 66 1.3k
Leon Stutzman 874 1.7× 333 0.8× 208 0.6× 465 1.4× 158 0.6× 60 1.7k
Pam McKay 753 1.5× 518 1.2× 355 1.0× 437 1.3× 137 0.5× 76 1.4k
Rika Sakai 580 1.1× 368 0.9× 464 1.3× 523 1.6× 128 0.5× 106 1.4k
Maurizio Musso 333 0.7× 242 0.6× 698 2.0× 362 1.1× 202 0.8× 68 1.3k
Benet Nomdedeu 594 1.2× 830 2.0× 884 2.5× 348 1.1× 361 1.4× 89 1.8k

Countries citing papers authored by Neta Goldschmidt

Since Specialization
Citations

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

Fields of papers citing papers by Neta Goldschmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neta Goldschmidt

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