L.L. David

1.9k citations
48 papers · 1.5k indexed · h-index 21

L.L. David

48 papers receiving 1.5k citations

Peers

L.L. David
Comparison fields: 5 of 109
  • Clinical Biochemistry 200
  • Cell Biology 389
  • Sensory Systems 88
  • Molecular Biology 1.1k
  • Molecular Medicine 66
Replace Nigar Fatma with:
Nigar Fatma United States
Gongyi Shi United States
Hany S. Girgis United States
Oliver Nüße France
Krishna Kodukula United States
Norihiro Azuma Japan
Liane Mende‐Mueller United States
Antoinette Monod Switzerland
Harvey R. Kaslow United States
Maurizio Denaro Italy
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Citations per field
00.5×7.3×
Nigar Fatma · 1×
Citations per year

Countries citing papers authored by L.L. David

Since Specialization
Citations

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

Fields of papers citing papers by L.L. David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20224
3 20214
4 201939
5 20184
6 20182
7 20165
8 201526
9 201598
10 2010100
11
Prediction of Retinal Phenotype and Progression Based on Autoantibody Profile in Paraneoplastic and Autoimmune Retinopathy
20081
12
Glutathiolated Crystallins in the Guinea Pig Lens: Effects of Age and Exposure to Oxidative Stress in vivo
20061
13
Global Proteomic Strategy to Quantify Oxidized Cysteines in Human Nuclear Cataract
20052
14
Calpain–induced proteolysis in lens epithelial cell death during ovine inherited cataract
20041
15 199951
16 198924
17 198818
18 198764
19 198717
20 19814

About L.L. David

L.L. David is a scholar working on Molecular Medicine, Endocrinology, Cell Biology, Applied Microbiology and Biotechnology and Molecular Biology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Connexins and lens biology (22 papers), Calpain Protease Function and Regulation (11 papers), Biochemical effects in animals (8 papers), Antibiotic Resistance in Bacteria (8 papers), Selenium in Biological Systems (4 papers), Infections and bacterial resistance (3 papers), Enterobacteriaceae and Cronobacter Research (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Clinical Biochemistry (200 citations), Cell Biology (389 citations), Sensory Systems (88 citations), Molecular Biology (1.1k citations) and Molecular Medicine (66 citations). L.L. David has collaborated with scholars based in United States, France and Democratic Republic of the Congo. Frequent co-authors include Thomas R. Shearer, Miyuki Azuma, Phillip A. Wilmarth, M. Shih, Michael A. Riviere, Stephen Tanner, Pavel A. Pevzner, Surendra Dasari, Srinivasa R. Nagalla and Vineet Bafna. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Experimental Eye Research, Current Eye Research, Research in Veterinary Science and Journal of Biological Chemistry.

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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