Eric V. Liu

2k citations
70 papers · 1.6k · h-index 19

Impact in

Papers in

Eric V. Liu

67 papers receiving 1.6k citations

Peers

Eric V. Liu
Comparison fields: 5 of 116
  • Developmental Neuroscience 97
  • Epidemiology 407
  • Oncology 167
  • Immunology and Allergy 31
  • Cancer Research 83
Replace David B. Conley with:
David B. Conley United States
Kai‐Feng Xu China
Irene Fernández-Ruíz Spain
Marco Carbone Italy
Zhihua Wang China
Alfred C. Kuo United States
Shenyang Li China
Wanda L. Salzer United States
Alina Markova United States
Eric V. Liu relative to David B. Conley United States David B. Conley's profile →
Citations per field
00.5×2×4×6×8.8×
David B. Conley · 1×
Citations per year

Countries citing papers authored by Eric V. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Eric V. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric V. Liu. 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 Eric V. Liu. The network helps show where Eric V. Liu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015226
2 2009148
3 2014127
4 2019113
5 2011108
6 201798
7 200387
8 201862
9 200661
10 201944
11 201640
12 202033
13 200326
14 201726
15 201825
16 200823
17 201023
18 201023
19 201523
20 201318

About Eric V. Liu

Eric V. Liu is a scholar working on Electrical and Electronic Engineering, Epidemiology, Oncology, Experimental and Cognitive Psychology and Rheumatology, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (20 papers), Neuroendocrine Tumor Research Advances (12 papers), Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic function and diabetes (2 papers), Semiconductor Lasers and Optical Devices (2 papers), AI in cancer detection (2 papers), Semiconductor materials and devices (2 papers) and Creativity in Education and Neuroscience (2 papers). The work is most often cited by research in Developmental Neuroscience (97 citations), Epidemiology (407 citations), Oncology (167 citations), Immunology and Allergy (31 citations) and Cancer Research (83 citations). Eric V. Liu has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include András Perl, Chanjuan Shi, Kjell Öberg, Sylvia E.K. Sudat, David C. Metz, Raul S. González, Edward M. Wolin, David S. Klimstra, Steven F. Moss and Jonathan Strosberg. Their work appears in journals such as Cancer Management and Research, Journal of Surgical Oncology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Immunity and American Journal of Clinical Pathology.

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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