Long Gu

720 citations
42 papers · 471 · h-index 12

Impact in

    • Cancer-related Molecular Pathways
    • Peptidase Inhibition and Analysis
    • HER2/EGFR in Cancer Research
    • DNA Repair Mechanisms
    • RNA Interference and Gene Delivery
    • Chemical Synthesis and Analysis

Papers in

Long Gu

33 papers receiving 462 citations

Peers

Long Gu
Comparison fields: 5 of 93
  • Oncology 139
  • Molecular Biology 259
  • Microbiology 23
  • Cancer Research 48
  • Radiology, Nuclear Medicine and Imaging 57
Replace Taichi Matsumoto with:
Taichi Matsumoto Japan
Jingwen Lv China
Felix Boakye‐Agyeman United States
Guili Xu China
Ouri Schwob Israel
Maryam A. Shetab Boushehri Germany
Dahai Liu China
Suhe Dong China
Mai T. Tran United States
Long Gu relative to Taichi Matsumoto Japan Taichi Matsumoto's profile →
Citations per field
00.5×2.7×
Taichi Matsumoto · 1×
Citations per year

Countries citing papers authored by Long Gu

Since Specialization
Citations

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

Fields of papers citing papers by Long Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202192
2 200943
3 200939
4 201434
5 200434
6 201833
7 201426
8 201524
9 201722
10 200917
11 202315
12 202213
13 201311
14 20239
15 20229
16 20248
17 20236
18 20245
19 20245
20 20234

About Long Gu

Long Gu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Aerospace Engineering and Materials Chemistry, having authored 42 papers that have together received 471 indexed citations. Recurring topics across this work include Boron Compounds in Chemistry (9 papers), DNA Repair Mechanisms (7 papers), Nuclear reactor physics and engineering (6 papers), Nuclear Materials and Properties (6 papers), Nuclear Physics and Applications (5 papers), Cancer therapeutics and mechanisms (5 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Radiation Therapy and Dosimetry (5 papers). The work is most often cited by research in Oncology (139 citations), Molecular Biology (259 citations), Microbiology (23 citations), Cancer Research (48 citations) and Radiology, Nuclear Medicine and Imaging (57 citations). Long Gu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Linda H. Malkas, Robert J. Hickey, Susan E. Kane, Robert Lingeman, J. Jefferson P. Perry, Sarah Waliany, Pouya Haratipour, Sean K. Lau, George Somlo and Sofia Loera. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Clinical Cancer Research, Applied Radiation and Isotopes, Annals of Nuclear Energy and Cancer Research.

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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