Lea Michel

846 citations
32 papers · 638 · h-index 13

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • Lipid Membrane Structure and Behavior 3
    • Protein Structure and Dynamics 3
    • Bacterial Infections and Vaccines 11

Lea Michel

27 papers receiving 624 citations

Peers

Lea Michel
Comparison fields: 5 of 122
  • Microbiology 82
  • Internal Medicine 40
  • Hematology 81
  • Oncology 171
  • Urology 29
Replace Lucia Fischetti with:
Lucia Fischetti Italy
Wendy Wang United States
Robert Jach Poland
Jun Ishihara United States
J. Holt United States
Seron Eaton United States
Esther French United States
Brian J. Rybarczyk United States
Paul H. Kim United States
Juliana M. Layzer United States
Lea Michel relative to Lucia Fischetti Italy Lucia Fischetti's profile →
Citations per field
00.5×2.9×
Lucia Fischetti · 1×
Citations per year

Countries citing papers authored by Lea Michel

Since Specialization
Citations

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

Fields of papers citing papers by Lea Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012191
2 2010128
3 200738
4
Social psychological theories of computer-mediated communication: Social pain or social gain?
200136
5 201335
6 201326
7 201125
8 200822
9 201521
10 202016
11 200816
12 201715
13 202213
14 201812
15 201111
16
The InSIDE story: Social psychological processes affecting on-line groups.
20007
17 20226
18 20216
19 20244
20 20173

About Lea Michel

Lea Michel is a scholar working on Molecular Biology, Microbiology, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 638 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (11 papers), RNA and protein synthesis mechanisms (4 papers), Pneumonia and Respiratory Infections (4 papers), Lipid Membrane Structure and Behavior (3 papers), Protein Structure and Dynamics (3 papers), Neonatal and Maternal Infections (3 papers), Hearing Impairment and Communication (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Microbiology (82 citations), Internal Medicine (40 citations), Hematology (81 citations), Oncology (171 citations) and Urology (29 citations). Lea Michel has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Judah Folkman, Jon E. Peterson, Joseph E. Italiano, Giannoula Klement, David Zurakowski, Robert J. D’Amato, Susan L. Connors, Kara L. Bren, Michael E. Pichichero and P. Craig. Their work appears in journals such as The FASEB Journal, Chemie Ingenieur Technik, International Journal of Antimicrobial Agents, FEBS Open Bio and Journal of Bacteriology.

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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