Diane M. Lang

680 total citations
8 papers, 562 citations indexed

About

Diane M. Lang is a scholar working on Molecular Biology, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Diane M. Lang has authored 8 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Diane M. Lang's work include Alzheimer's disease research and treatments (4 papers), Mosquito-borne diseases and control (3 papers) and Prion Diseases and Protein Misfolding (2 papers). Diane M. Lang is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Mosquito-borne diseases and control (3 papers) and Prion Diseases and Protein Misfolding (2 papers). Diane M. Lang collaborates with scholars based in United States and Philippines. Diane M. Lang's co-authors include Richard Scott, Stephen P. Trusko, David Howland, Mary J. Savage, Robert Siman, Andrew G. Reaume, Barry Greenberg, James D. Hirsch, Dorothy G. Flood and N. Maeda and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Journal of Neurochemistry.

In The Last Decade

Diane M. Lang

7 papers receiving 532 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Diane M. Lang United States	7	324	251	112	112	76	8	562
K. Martin Chow United States	14	272 0.8×	258 1.0×	53 0.5×	81 0.7×	84 1.1×	21	587
Rana F. Shayya United States	8	269 0.8×	222 0.9×	17 0.2×	84 0.8×	55 0.7×	12	540
Javier Pacheco‐Quinto United States	11	222 0.7×	137 0.5×	21 0.2×	84 0.8×	23 0.3×	13	489
James L. Buescher United States	11	379 1.2×	223 0.9×	23 0.2×	112 1.0×	37 0.5×	14	709
Dominique Drouin France	12	180 0.6×	224 0.9×	16 0.1×	57 0.5×	32 0.4×	17	605
Edson Mendes de Oliveira Brazil	15	155 0.5×	220 0.9×	97 0.9×	39 0.3×	34 0.4×	23	620
Ilka Schneider Germany	14	282 0.9×	336 1.3×	12 0.1×	198 1.8×	118 1.6×	38	738
Patricia Rodriguez‐Rodriguez Sweden	14	211 0.7×	255 1.0×	89 0.8×	102 0.9×	25 0.3×	21	675
G Mehlhorn Germany	8	234 0.7×	131 0.5×	41 0.4×	87 0.8×	15 0.2×	23	437
Anthony J. Carlos United States	7	109 0.3×	253 1.0×	29 0.3×	86 0.8×	150 2.0×	8	547

Countries citing papers authored by Diane M. Lang

Since Specialization

Citations

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

Fields of papers citing papers by Diane M. Lang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane M. Lang. 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 Diane M. Lang. The network helps show where Diane M. Lang may publish in the future.

Co-authorship network of co-authors of Diane M. Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Diane M. Lang. A scholar is included among the top collaborators of Diane M. Lang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diane M. Lang. Diane M. Lang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Lang, Diane M., et al.. (2025). Antibody responses to Japanese encephalitis virus and dengue virus serotype 2 in children from an orthoflavivirus endemic region after IMOJEV vaccination. PLoS neglected tropical diseases. 19(9). e0013550–e0013550.

Lang, Diane M., et al.. (2022). Dengue virus downregulates TNFR1- and TLR3-stimulated NF-κB activation by targeting RIPK1. Frontiers in Cellular and Infection Microbiology. 12. 926036–926036. 9 indexed citations

Barbier, Vincent, et al.. (2016). Dengue virus induces mitochondrial elongation through impairment of Drp1-triggered mitochondrial fission. Virology. 500. 149–160. 82 indexed citations

Flood, Dorothy G., Yin‐Guo Lin, Diane M. Lang, et al.. (2007). A transgenic rat model of Alzheimer's disease with extracellular Aβ deposition. Neurobiology of Aging. 30(7). 1078–1090. 64 indexed citations

Howland, David, Stephen P. Trusko, Mary J. Savage, et al.. (1998). Modulation of Secreted β-Amyloid Precursor Protein and Amyloid β-Peptide in Brain by Cholesterol. Journal of Biological Chemistry. 273(26). 16576–16582. 219 indexed citations

Reaume, Andrew G., David Howland, Stephen P. Trusko, et al.. (1996). Enhanced Amyloidogenic Processing of the β-Amyloid Precursor Protein in Gene-targeted Mice Bearing the Swedish Familial Alzheimer's Disease Mutations and a “Humanized” Aβ Sequence. Journal of Biological Chemistry. 271(38). 23380–23388. 122 indexed citations

Meyer, Sheryl L., Donna Bozyczko‐Coyne, Satish Mallya, et al.. (1996). Biologically active monomeric and heterodimeric recombinant human calpain I produced using the baculovirus expression system. Biochemical Journal. 314(2). 511–519. 53 indexed citations

Meyer, Sheryl L., Diane M. Lang, M. Elizabeth Forbes, et al.. (1994). Production and Characterization of Recombinant Mouse Brain‐Derived Neurotrophic Factor and Rat Neurotrophin‐3 Expressed in Insect Cells. Journal of Neurochemistry. 62(3). 825–833. 13 indexed citations

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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