Adam S. Sperling

5.9k citations
73 papers · 2.1k indexed · 2 hit papers · h-index 22
  • Hematology top 1%
    • Multiple Myeloma Research and Treatments 36
    • Acute Myeloid Leukemia Research 12
  • Oncology top 5%
    • CAR-T cell therapy research 14
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 4
    • Protein Degradation and Inhibitors 19
    • Genomics and Chromatin Dynamics 8
    • Ubiquitin and proteasome pathways 6
    • Cancer Genomics and Diagnostics 7

Adam S. Sperling

71 papers receiving 2.1k citations

Hit Papers

Biallelic loss of BCMA as a resistance mech...2362016202620192022100200300

Peers

Adam S. Sperling
Comparison fields: 5 of 93
  • Hematology 724
  • Oncology 698
  • Genetics 214
  • Molecular Biology 1.3k
  • Cancer Research 191
Replace Madhavi Bandi with:
Madhavi Bandi United States
Maria E. Balasis United States
Kathrin M. Bernt United States
Anita Ryningen Norway
Hong Sai United States
Chi Wai Eric So United Kingdom
Christopher J. Ott United States
Nikhil Munshi United States
Marianne Terndrup Pedersen Denmark
Paul M. Ayton United States
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Citations per field
00.5×4.8×
Madhavi Bandi · 1×
Citations per year

Countries citing papers authored by Adam S. Sperling

Since Specialization
Citations

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

Fields of papers citing papers by Adam S. Sperling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam S. Sperling. 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 Adam S. Sperling. The network helps show where Adam S. Sperling may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20241
5 20241
6 20230
7 202315
8 202322
9 202317
10 202324
11 202328
12 20224
13 202134
14 2021180
15 20203
16 2018114
17 201120
18 2009160
19 200829
20 2002135

About Adam S. Sperling

Adam S. Sperling is a scholar working on Hematology, Oncology and Genetics, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (36 papers), Protein Degradation and Inhibitors (19 papers), CAR-T cell therapy research (14 papers), Acute Myeloid Leukemia Research (12 papers), Genomics and Chromatin Dynamics (8 papers), Cancer Genomics and Diagnostics (7 papers), Ubiquitin and proteasome pathways (6 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (724 citations), Oncology (698 citations) and Genetics (214 citations). Adam S. Sperling has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Benjamin L. Ebert, Christopher J. Gibson, Nikhil C. Munshi, Max Jan, Michael Grunstein, Yu‐Tzu Tai, Mehmet Samur, Mariateresa Fulciniti, Kenneth C. Anderson and Jennifer A. Armstrong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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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