Neta Goldschmidt

7.6k citations
98 papers · 1.5k · h-index 24

Impact in

  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Chronic Myeloid Leukemia Treatments

Papers in

Neta Goldschmidt

94 papers receiving 1.4k citations

Peers

Neta Goldschmidt
Comparison fields: 5 of 86
  • Genetics 399
  • Hematology 337
  • Pathology and Forensic Medicine 458
  • Internal Medicine 56
  • Neurology 183
Replace Yeung‐Chul Mun with:
Yeung‐Chul Mun South Korea
L BOXER United States
Hung Chang Taiwan
Cédric Garcia France
K. J. Roozendaal Netherlands
Steven Andrèsen United States
Roberto Castelli Italy
Karel Indrák Czechia
Frédéric Maloisel France
J. A. McBride United States
Neta Goldschmidt relative to Yeung‐Chul Mun South Korea Yeung‐Chul Mun's profile →
Citations per field
00.5×2×2.8×
Yeung‐Chul Mun · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Neta Goldschmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neta Goldschmidt Line = papers co-authored together Neta Goldschmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200376
2 202175
3 200564
4 201862
5 201760
6 201058
7 200053
8 201249
9 201646
10 201533
11
Hodgkin's variant of Richter transformation in chronic lymphocytic leukemia; a retrospective study from the Israeli CLL study group.
201433
12 201232
13 199732
14 200830
15 201330
16 201428
17 200228
18 201428
19 201727
20 200226

About Neta Goldschmidt

Neta Goldschmidt is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Neurology and Hematology, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (38 papers), Chronic Lymphocytic Leukemia Research (26 papers), CNS Lymphoma Diagnosis and Treatment (17 papers), CAR-T cell therapy research (10 papers), Acute Myeloid Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Lymphoblastic Leukemia research (6 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Genetics (399 citations), Hematology (337 citations), Pathology and Forensic Medicine (458 citations), Internal Medicine (56 citations) and Neurology (183 citations). Neta Goldschmidt has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Tali Siegal, Moshe E. Gatt, Ora Paltiel, Alexander Gural, Osnat Bairey, Tamar Tadmor, Lev Shvidel, David Varon, Rosa Ruchlemer and Batia Avni. Their work appears in journals such as Blood, American Journal of Hematology, Annals of Hematology, Hematological Oncology and European Journal Of Haematology.

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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