Jacob Appelbaum

3.5k citations
44 papers · 2.5k · 2 hit papers · h-index 17

Impact in

Papers in

    • Acute Myeloid Leukemia Research 12
    • Chronic Myeloid Leukemia Treatments 3
    • CAR-T cell therapy research 8

Jacob Appelbaum

39 papers receiving 2.4k citations

Jacob Appelbaum's Hit Papers

Lest we remember 2009 · 691 citations
6910+6+12Years since publication200400600

Peers

Jacob Appelbaum
Comparison fields: 5 of 118
  • Signal Processing 411
  • Hardware and Architecture 251
  • Artificial Intelligence 1.0k
  • Information Systems 500
  • Immunology 371
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Citations per year

Countries citing papers authored by Jacob Appelbaum

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Appelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lest we remember
Hit paper breakdown →
2009691
2 2004395
3
Lest we remember: cold boot attacks on encryption keys
Hit paper breakdown →
2008333
4 2008153
5 2012146
6 2009131
7 2010114
8
OONI : Open Observatory of Network Interference
201270
9 201970
10
MD5 considered harmful today, creating a rogue CA certificate
200859
11
Cypherpunks: Freedom and the Future of the Internet
201256
12 199050
13 201245
14 201841
15 201340
16 201335
17 201133
18 202113
19 20188
20 20187

About Jacob Appelbaum

Jacob Appelbaum is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Artificial Intelligence, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), CAR-T cell therapy research (8 papers), Acute Lymphoblastic Leukemia research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Advanced Malware Detection Techniques (4 papers), Biotin and Related Studies (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Signal Processing (411 citations), Hardware and Architecture (251 citations), Artificial Intelligence (1.0k citations), Information Systems (500 citations) and Immunology (371 citations). Jacob Appelbaum has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include William Clarkson, J. Alex Halderman, Edward W. Felten, Joseph A. Calandrino, William Paúl, Ariel J. Feldman, Nadia Heninger, Seth David Schoen, Alanna Schepartz and Batu Erman. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, Journal of the American Chemical Society and ACS Chemical Biology.

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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