Florence Lima

847 citations
34 papers · 654 · h-index 16

Impact in

Papers in

Florence Lima

30 papers receiving 646 citations

Peers

Florence Lima
Comparison fields: 5 of 80
  • Nephrology 167
  • Orthopedics and Sports Medicine 114
  • Aging 10
  • Physiology 133
  • Molecular Biology 254
Replace Anaïs Mozar with:
Anaïs Mozar France
María Jesús Lloret Spain
H. Jüppner United States
Taichi Kitaoka Japan
Eric T. Rush United States
Abraham Behrmann United States
Lynn Kohlmeier United States
Monica Chang-Panesso United States
M.-C. Faugere United States
Rune Jemtland Norway
Florence Lima relative to Anaïs Mozar France Anaïs Mozar's profile →
Citations per field
00.5×2.8×
Anaïs Mozar · 1×
Citations per year

Countries citing papers authored by Florence Lima

Since Specialization
Citations

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

Fields of papers citing papers by Florence Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200768
2 200959
3 201554
4 201151
5 201147
6 201339
7 201429
8 201625
9 201525
10 201225
11 201924
12 201323
13 201419
14 202217
15 201717
16 201716
17 202015
18 200413
19 201312
20 201912

About Florence Lima

Florence Lima is a scholar working on Nephrology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Orthopedics and Sports Medicine, having authored 34 papers that have together received 654 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (12 papers), Bone health and osteoporosis research (7 papers), Bone health and treatments (7 papers), Blood properties and coagulation (5 papers), Spaceflight effects on biology (4 papers), Bone Metabolism and Diseases (4 papers), TGF-β signaling in diseases (3 papers) and Vitamin D Research Studies (3 papers). The work is most often cited by research in Nephrology (167 citations), Orthopedics and Sports Medicine (114 citations), Aging (10 citations), Physiology (133 citations) and Molecular Biology (254 citations). Florence Lima has collaborated with scholars based in United States, Netherlands and Egypt. Frequent co-authors include Corinne Niger, Joseph P. Stains, Maria V. Nurminskaya, Carla Hebert, Hartmut H. Malluche, Amr El‐Husseini, Dmitry I. Nurminsky, Susan A. Bloomfield, Wilfried Goetz and Janet E. Baulch. Their work appears in journals such as Clinical Nephrology, Arteriosclerosis Thrombosis and Vascular Biology, PLoS ONE, Radiation Research and Bone.

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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