AB Deisseroth

4.1k citations
69 papers · 3.0k indexed · h-index 33

AB Deisseroth

65 papers receiving 2.9k citations

Peers

AB Deisseroth
Comparison fields: 5 of 96
  • Hematology 2.0k
  • Genetics 683
  • Oncology 838
  • Biochemistry 162
  • Immunology 523
Replace K Lilleby with:
K Lilleby United States
GL Phillips Canada
Luc Douay France
P Hervé France
FR Appelbaum United States
RE Champlin United States
DC Arthur United States
John A. Liu Yin United Kingdom
M Körbling United States
L. Bik To Australia
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Citations per field
00.5×1.7×
K Lilleby · 1×
Citations per year

Countries citing papers authored by AB Deisseroth

Since Specialization
Citations

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

Fields of papers citing papers by AB Deisseroth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199764
2
The human multiple drug resistance gene (mdr-1) is used to confer chemoprotection upon hematopoietic progenitor cells in a clinical gene therapy trial setting for ovarian and breast cancer treatment
19961
3 199619
4 1996101
5 19965
6 19952
7 19952
8 19941
9 199460
10 19948
11 199448
12 1993139
13 199258
14 199173
15 198955
16 198079
17
Autologous stem cell reconstitution and the intensive therapy of resistant solid tumors in man.
19791
18 19789
19 197844
20 1978194

About AB Deisseroth

AB Deisseroth is a scholar working on Hematology, Genetics, Transplantation, Oncology and Biochemistry, having authored 69 papers that have together received 3.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (16 papers), Acute Myeloid Leukemia Research (15 papers), Hematopoietic Stem Cell Transplantation (14 papers), Retinoids in leukemia and cellular processes (9 papers), Neutropenia and Cancer Infections (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Hematology (2.0k citations), Genetics (683 citations), Oncology (838 citations), Biochemistry (162 citations) and Immunology (523 citations). AB Deisseroth has collaborated with scholars based in United States, Canada and India. Frequent co-authors include YO Huh, CL Reading, FR Appelbaum, Moshe Talpaz, Donna Przepiorka, Koen van Besien, Börje S. Andersson, David F. Claxton, Sergio Giralt and David Seong. Their work appears in journals such as Blood, JNCI Journal of the National Cancer Institute, Journal of Clinical Investigation, Clinical Infectious Diseases and Journal of Clinical Oncology.

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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