Lea Michel

674 citations
23 papers · 526 · h-index 9

Impact in

Papers in

    • Protein Structure and Dynamics 3
    • Lipid Membrane Structure and Behavior 3
    • Angiogenesis and VEGF in Cancer 2
    • Protein purification and stability 2
    • Bacterial Infections and Vaccines 5

Lea Michel

18 papers receiving 513 citations

Peers

Lea Michel
Comparison fields: 5 of 114
  • Internal Medicine 36
  • Hematology 75
  • Oncology 156
  • Urology 29
  • Microbiology 30
Replace Brian J. Rybarczyk with:
Brian J. Rybarczyk United States
Nicole M. Moore United States
Paul H. Kim United States
Anikó Szalai Hungary
Robert J. Davidson United States
Susan J. Cooper United Kingdom
Masanori Matsumoto Japan
Johanne Leroy‐Dudal France
Howard C.B. Graves United States
Karen Berry United States
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Citations per field
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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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012196
2 2010128
3 200739
4
Social psychological theories of computer-mediated communication: Social pain or social gain?
200136
5 201327
6 200822
7 200816
8 202016
9 201715
10 20227
11
The InSIDE story: Social psychological processes affecting on-line groups.
20007
12 20246
13 20216
14 20141
15 20221
16 20221
17 20221
18 20171
19 20240
20 20220

About Lea Michel

Lea Michel is a scholar working on Molecular Biology, Microbiology, Social Psychology, Radiology, Nuclear Medicine and Imaging and Developmental and Educational Psychology, having authored 23 papers that have together received 526 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (5 papers), Hearing Impairment and Communication (3 papers), Protein Structure and Dynamics (3 papers), Lipid Membrane Structure and Behavior (3 papers), Pneumonia and Respiratory Infections (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Internal Medicine (36 citations), Hematology (75 citations), Oncology (156 citations), Urology (29 citations) and Microbiology (30 citations). Lea Michel has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Giannoula Klement, Judah Folkman, Jon E. Peterson, David Zurakowski, Joseph E. Italiano, Robert J. D’Amato, Susan L. Connors, Kara L. Bren, Tom Postmes and Russell Spears. Their work appears in journals such as The FASEB Journal, International Journal of Antimicrobial Agents, Chemie Ingenieur Technik, International Journal of Inclusive Education and FEBS Open Bio.

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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