Paul M. Lieberman

16.1k citations
218 papers · 12.2k indexed · 1 hit paper · h-index 64
Topics
Viral-associated cancers and disorders (123 papers)Cytomegalovirus and herpesvirus research (84 papers)Lymphoma Diagnosis and Treatment (39 papers)

In The Last Decade

Paul M. Lieberman

214 papers receiving 12.1k citations

Hit Papers

Epstein–Barr virus and multiple sclerosis2022202620232024202250100150200250

Peers

Paul M. Lieberman
Comparison fields: 5 of 134
  • Molecular Biology 6.3k
  • Oncology 5.0k
  • Epidemiology 3.4k
  • Immunology 1.7k
  • Physiology 1.6k
Replace S. Diane Hayward with:
S. Diane Hayward United States
James A. DeCaprio United States
Maria G. Masucci Sweden
Daniel DiMaio United States
Anne Dejean France
Martin Scheffner Germany
Àngel Pellicer United States
Marshall S. Horwitz United States
Michael B. Mathews United States
Lynn M. Corcoran Australia
Paul M. Lieberman relative to S. Diane Hayward United States S. Diane Hayward's profile →
Citations per field
00.5×5.5×
S. Diane Hayward · 1×
Citations per year

Countries citing papers authored by Paul M. Lieberman

Since Specialization
Citations

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

Fields of papers citing papers by Paul M. Lieberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul M. Lieberman. 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 Paul M. Lieberman. The network helps show where Paul M. Lieberman may publish in the future.

Co-authorship network of co-authors of Paul M. Lieberman

This figure shows the co-authorship network connecting the top 25 collaborators of Paul M. Lieberman. A scholar is included among the top collaborators of Paul M. Lieberman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul M. Lieberman. Paul M. Lieberman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 0
4 15
5 12
6
Epstein–Barr virus and multiple sclerosisbreakdown →
255
7 28
8 12
9 25
10 5
11 37
12 40
13 39
14 7
15 9
16 20
17 7
18 157
19 429
20 16

About Paul M. Lieberman

Paul M. Lieberman is a scholar working on Oncology, Epidemiology and Virology, having authored 218 papers that have together received 12.2k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (123 papers), Cytomegalovirus and herpesvirus research (84 papers) and Lymphoma Diagnosis and Treatment (39 papers). The work is most often cited by research in Oncology (5.0k citations), Virology (487 citations) and Aging (180 citations). Paul M. Lieberman has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Arnold Berk, Zhong Deng, Fang Lü, Andreas Wiedmer, Italo Tempera, S. Diane Hayward, Julie Norseen, Samantha S. Soldan, J. Marie Hardwick and Qiang Zhou. Their work appears in journals such as Nature, Science and Cell.

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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