Michelle K. Greene

739 citations
24 papers · 464 indexed · h-index 14
Topics
Nanoparticle-Based Drug Delivery (8 papers)Pancreatic and Hepatic Oncology Research (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)

In The Last Decade

Michelle K. Greene

24 papers receiving 461 citations

Peers

Michelle K. Greene
Comparison fields: 5 of 77
  • Molecular Biology 210
  • Biomaterials 159
  • Biomedical Engineering 149
  • Oncology 124
  • Radiology, Nuclear Medicine and Imaging 98
Replace Houbing Zhang with:
Houbing Zhang China
Gloria Ruiz‐Gómez Germany
Virginia M. Platt United States
Parisa Yousefpour United States
Junxiao Ye China
Daniel Yuen Australia
Lu Diao China
Tarmo Mölder Estonia
Luke J. Kubiatowicz United States
Leopoldo Sitia Italy
Michelle K. Greene relative to Houbing Zhang China Houbing Zhang's profile →
Citations per field
00.5×1.5×1.8×
Houbing Zhang · 1×
Citations per year

Countries citing papers authored by Michelle K. Greene

Since Specialization
Citations

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

Fields of papers citing papers by Michelle K. Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle K. Greene. 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 Michelle K. Greene. The network helps show where Michelle K. Greene may publish in the future.

Co-authorship network of co-authors of Michelle K. Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle K. Greene. A scholar is included among the top collaborators of Michelle K. Greene 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 Michelle K. Greene. Michelle K. Greene 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 1
4 2
5 7
6 6
7 14
8 19
9 2
10 38
11 20
12 16
13 18
14 21
15 45
16 58
17 82
18 5
19 48
20 14

About Michelle K. Greene

Michelle K. Greene is a scholar working on Biomaterials, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 464 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (8 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Biomaterials (159 citations), Oncology (124 citations) and Radiology, Nuclear Medicine and Imaging (98 citations). Michelle K. Greene has collaborated with scholars based in United Kingdom, United States and Jordan. Frequent co-authors include Christopher J. Scott, Peter Smyth, Vijay Chudasama, Daniel A. Richards, Daniel B. Longley, Katrina Campbell, Marcos Fernández, Donna M. Small, Kirsty M. McLaughlin and Sandra Van Schaeybroeck. Their work appears in journals such as Nature Nanotechnology, Chemical Communications and Biochemical Journal.

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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