Nancy Berliner

9.6k citations
141 papers · 5.7k indexed · 2 hit papers · h-index 42

Nancy Berliner

138 papers receiving 5.6k citations

Hit Papers

Prediction of Risk for Myeloid Malig...1392019202620212023100200300400500

Peers

Nancy Berliner
Comparison fields: 5 of 134
  • Hematology 2.7k
  • Immunology 2.4k
  • Infectious Diseases 1.2k
  • Genetics 691
  • Pathology and Forensic Medicine 533
Replace Lennart Truedsson with:
Lennart Truedsson Sweden
Marc Bijl Netherlands
Blaž Rozman Slovenia
Joachim R. Kalden Germany
Shinichiro Okamoto Japan
L Aarden Netherlands
Robert A. Brodsky United States
Kiyoshi Migita Japan
Georges Deschênes France
Thierry Martin France
Nancy Berliner relative to Lennart Truedsson Sweden Lennart Truedsson's profile →
Citations per field
00.5×3.3×
Lennart Truedsson · 1×
Citations per year

Countries citing papers authored by Nancy Berliner

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Berliner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 202168
5
Recommendations for the management of hemophagocytic lymphohistiocytosis in adultsbreakdown →
2019598
6 201619
7 201555
8 201111
9 201111
10 201111
11 201060
12 201040
13 200926
14 200845
15 200610
16 200517
17 200532
18 200477
19 199830
20 199613

About Nancy Berliner

Nancy Berliner is a scholar working on Hematology, Immunology and Genetics, having authored 141 papers that have together received 5.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Autoimmune and Inflammatory Disorders Research (22 papers), Retinoids in leukemia and cellular processes (20 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (19 papers), Parvovirus B19 Infection Studies (16 papers), Immune Cell Function and Interaction (15 papers), Blood disorders and treatments (15 papers) and Cell Adhesion Molecules Research (11 papers). The work is most often cited by research in Hematology (2.7k citations), Immunology (2.4k citations) and Infectious Diseases (1.2k citations). Nancy Berliner has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Alison M. Schram, Arati Khanna‐Gupta, Hanny Al‐Samkari, Nathan D. Lawson, Theresa Zibello, Gary Vanasse, Mounica Vallurupalli, Peter Gaines, Ann Mullally and Benjamin L. Ebert. Their work appears in journals such as Blood, Experimental Hematology, British Journal of Haematology, Hematology and Journal of Biological Chemistry.

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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