Lisa E. Wang

160 papers receiving 6.3k citations

Peers

Lisa E. Wang
Comparison fields: 5 of 148
  • Oncology 1.8k
  • Cancer Research 675
  • Reproductive Medicine 355
  • Pulmonary and Respiratory Medicine 1.0k
  • Obstetrics and Gynecology 231
Replace Xavier Paolettí with:
Xavier Paolettí France
Zhaohui Zou United States
Francesco Perrone Italy
T. Tong United States
Madappa N. Kundranda United States
Boštjan Šeruga Canada
Ding Ma China
Barbara A. Conley United States
Andrew Kramar France
Siqing Fu United States
Lisa E. Wang relative to Xavier Paolettí France Xavier Paolettí's profile →
Citations per field
00.5×1.5×2.2×
Xavier Paolettí · 1×
Citations per year

Countries citing papers authored by Lisa E. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lisa E. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa E. Wang. 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 Lisa E. Wang. The network helps show where Lisa E. Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008353
2 2016213
3 2009202
4 2011176
5 2021164
6 2014162
7 2010138
8 2007136
9 2010130
10 2008130
11 2017125
12 2019121
13 1992116
14 2019116
15 2001105
16 2008104
17 2004103
18 2005100
19 201799
20 201998

About Lisa E. Wang

Lisa E. Wang is a scholar working on Oncology, Reproductive Medicine, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Hepatology, having authored 167 papers that have together received 6.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), Endometrial and Cervical Cancer Treatments (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Genomics and Diagnostics (5 papers), Cancer Treatment and Pharmacology (4 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Oncology (1.8k citations), Cancer Research (675 citations), Reproductive Medicine (355 citations), Pulmonary and Respiratory Medicine (1.0k citations) and Obstetrics and Gynecology (231 citations). Lisa E. Wang has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Amit M. Oza, Ian F. Tannock, Monika Karolina Krzyzanowska, Lillian L. Siu, Karl Barry Sharpless, David Lawson Morris, Mohammad H. Pourgholami, Margaret M. Kolb, Eric Xueyu Chen and Malcolm J. Moore. Their work appears in journals such as Investigational New Drugs, International Journal of Gynecological Cancer, Clinical Cancer Research, Gynecologic Oncology and Nature Communications.

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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