L. Grove

1.0k citations
16 papers · 776 · h-index 11

Impact in

Papers in

L. Grove

16 papers receiving 770 citations

Peers

L. Grove
Comparison fields: 5 of 92
  • Sensory Systems 280
  • Immunology and Allergy 54
  • Cell Biology 120
  • Pulmonary and Respiratory Medicine 228
  • Physiology 175
Replace Kathryn A. Niese with:
Kathryn A. Niese United States
Kumi Shirai Japan
Yuki Mizuno Japan
Kevin Kruse United States
Takayoshi Sumioka Japan
Zoltán Griger Hungary
Alfonso Salgado-Aguayo Mexico
Roland Immler Germany
Paul‐André Risse Canada
Tomoka Takao Japan
L. Grove relative to Kathryn A. Niese United States Kathryn A. Niese's profile →
Citations per field
00.5×
Kathryn A. Niese · 1×
Citations per year

Countries citing papers authored by L. Grove

Since Specialization
Citations

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

Fields of papers citing papers by L. Grove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2014233
2 2015157
3 201658
4 202156
5 202049
6 201346
7 201937
8 201737
9 202036
10 201430
11 202116
12 20239
13 20168
14 20192
15 20151
16 20191

About L. Grove

L. Grove is a scholar working on Sensory Systems, Pulmonary and Respiratory Medicine, Molecular Biology, Physiology and Nutrition and Dietetics, having authored 16 papers that have together received 776 indexed citations. Recurring topics across this work include Ion Channels and Receptors (9 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Cell Adhesion Molecules Research (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Respiratory and Cough-Related Research (3 papers), Hydrogen's biological and therapeutic effects (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Sensory Systems (280 citations), Immunology and Allergy (54 citations), Cell Biology (120 citations), Pulmonary and Respiratory Medicine (228 citations) and Physiology (175 citations). L. Grove has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Mitchell A. Olman, Brian D. Southern, R.G. Scheraga, Susamma Abraham, Kathryn A. Niese, Shaik O. Rahaman, Christine McDonald, Daniel J. Tschumperlin, Sailaja Paruchuri and Magdalene M. Moran. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Frontiers in Immunology, Annals of the American Thoracic Society and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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