Samuel Berman

11.7k citations
21 papers · 807 · h-index 10

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • Electronic and Structural Properties of Oxides 3
    • 2D Materials and Applications 2
    • CAR-T cell therapy research 4

Samuel Berman

21 papers receiving 799 citations

Peers

Samuel Berman
Comparison fields: 5 of 65
  • Oncology 394
  • Hematology 165
  • Cancer Research 144
  • Immunology 154
  • Pathology and Forensic Medicine 79
Replace Dina Stroopinsky with:
Dina Stroopinsky United States
Pedro Blecua United States
Liqing Kang China
Matthew J. Frank United States
Claudia Gottstein Germany
Stefan Knackmuss Germany
Cecilia Carpio Spain
Paola Marighetti Italy
Rachel Koldej Australia
S. M. Luger United States
Samuel Berman relative to Dina Stroopinsky United States Dina Stroopinsky's profile →
Citations per field
00.5×1.6×
Dina Stroopinsky · 1×
Citations per year

Countries citing papers authored by Samuel Berman

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Samuel Berman, 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 Samuel Berman Line = papers co-authored together Samuel Berman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018247
2 2017232
3 201784
4 201853
5 201647
6 201636
7 201928
8 201321
9 201418
10 202111
11 20236
12 20244
13 20244
14 20233
15 20163
16 19853
17 20162
18 20232
19 20251
20 20251

About Samuel Berman

Samuel Berman is a scholar working on Materials Chemistry, Oncology, Electrical and Electronic Engineering, Cancer Research and Pathology and Forensic Medicine, having authored 21 papers that have together received 807 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Cancer Genomics and Diagnostics (3 papers), Electronic and Structural Properties of Oxides (3 papers), 2D Materials and Applications (2 papers), Breast Cancer Treatment Studies (2 papers), Immune Cell Function and Interaction (2 papers), Breast Lesions and Carcinomas (2 papers) and Chalcogenide Semiconductor Thin Films (2 papers). The work is most often cited by research in Oncology (394 citations), Hematology (165 citations), Cancer Research (144 citations), Immunology (154 citations) and Pathology and Forensic Medicine (79 citations). Samuel Berman has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include Fabiana Perna, Michel Sadelain, Cameron Brennan, Justin Eyquem, Mohamad Hamieh, Jorge Mansilla‐Soto, Ronald C. Hendrickson, Rajesh Soni, Charlotte K.Y. Ng and Britta Weigelt. Their work appears in journals such as Advanced Science, Blood, Physical review. B., Clinical Cancer Research and Applied Surface Science.

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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