Monica Wang

1.5k citations
77 papers · 988 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • NF-κB Signaling Pathways

Papers in

Monica Wang

72 papers receiving 977 citations

Peers

Monica Wang
Comparison fields: 5 of 107
  • Immunology 383
  • Cancer Research 181
  • Pharmacy 58
  • Oncology 229
  • Molecular Biology 334
Replace Ahmad Al‐Attar with:
Ahmad Al‐Attar United States
Josip Lukač Croatia
Cornelia Amălinei Romania
Kawin Leelawat Thailand
Carlo Capalbo Italy
Jennifer L. Hand United States
H.Z. Ke United States
Katja Porvari Finland
Monica Wang relative to Ahmad Al‐Attar United States Ahmad Al‐Attar's profile →
Citations per field
00.5×4.1×
Ahmad Al‐Attar · 1×
Citations per year

Countries citing papers authored by Monica Wang

Since Specialization
Citations

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

Fields of papers citing papers by Monica Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009270
2 2006184
3 201584
4 200683
5 200945
6 201629
7 201528
8 201424
9 201222
10 200821
11 201118
12
Synthesis and pre-clinical evaluation of an (18)F-labeled single-chain antibody fragment for PET imaging of epithelial ovarian cancer.
201615
13 20139
14 20169
15 20158
16 20148
17 20148
18 20127
19 20185
20 20215

About Monica Wang

Monica Wang is a scholar working on Molecular Biology, Surgery, Immunology, Nephrology and Cancer Research, having authored 77 papers that have together received 988 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Immune Cell Function and Interaction (7 papers), Pancreatic function and diabetes (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), T-cell and B-cell Immunology (5 papers), Diabetes Treatment and Management (4 papers), Amino Acid Enzymes and Metabolism (4 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Immunology (383 citations), Cancer Research (181 citations), Pharmacy (58 citations), Oncology (229 citations) and Molecular Biology (334 citations). Monica Wang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Thorsten Hagemann, Robin Soper, Anne M. Schultheis, George Kollias, Kellie A. Charles, Toby Lawrence, Probir Chakravarty, John F. Smyth, Richard G. Thompson and Hagen Kulbe. Their work appears in journals such as Nature Reviews Nephrology, Journal of Dental Sciences, EJNMMI Research, Microbial Pathogenesis and Cellular and Molecular Neurobiology.

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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