Divya Channappa

3.0k total citations
10 papers, 373 citations indexed

About

Divya Channappa is a scholar working on Neurology, Molecular Biology and Immunology. According to data from OpenAlex, Divya Channappa has authored 10 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Divya Channappa's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Single-cell and spatial transcriptomics (2 papers). Divya Channappa is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Single-cell and spatial transcriptomics (2 papers). Divya Channappa collaborates with scholars based in United States, Austria and Germany. Divya Channappa's co-authors include Hamilton Oh, Tony Wyss‐Coray, Victor W. Henderson, David Gate, Douglas Galasko, Kathleen L. Poston, Marian Shahid, Olivia Leventhal, Ludwig Aigner and Michael S. Unger and has published in prestigious journals such as Science, Cell and Nature Medicine.

In The Last Decade

Divya Channappa

10 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Divya Channappa United States	7	191	112	88	81	78	10	373
Paul Su United Kingdom	8	188 1.0×	150 1.3×	68 0.8×	45 0.6×	125 1.6×	13	605
Paolo Giannetti United Kingdom	7	257 1.3×	174 1.6×	88 1.0×	57 0.7×	109 1.4×	16	628
Fatma Zaguia United States	6	307 1.6×	93 0.8×	229 2.6×	49 0.6×	61 0.8×	12	528
Anne-Claire Dupont France	6	98 0.5×	84 0.8×	36 0.4×	76 0.9×	57 0.7×	10	302
Meredith Harrison‐Brown Australia	6	132 0.7×	104 0.9×	45 0.5×	49 0.6×	32 0.4×	11	313
Siranush Sargsyan United States	8	145 0.8×	141 1.3×	113 1.3×	66 0.8×	179 2.3×	12	508
Carmen Muñoz‐Ballester United States	9	181 0.9×	123 1.1×	31 0.4×	61 0.8×	90 1.2×	10	395
Jillian C. Nissen United States	12	277 1.5×	139 1.2×	180 2.0×	62 0.8×	21 0.3×	16	497
Melinda Czéh Germany	5	161 0.8×	84 0.8×	149 1.7×	43 0.5×	28 0.4×	6	401

Countries citing papers authored by Divya Channappa

Since Specialization

Citations

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

Fields of papers citing papers by Divya Channappa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Channappa

This figure shows the co-authorship network connecting the top 25 collaborators of Divya Channappa. A scholar is included among the top collaborators of Divya Channappa 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 Divya Channappa. Divya Channappa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Oh, Hamilton, Yann Le Guen, Deniz Yagmur Urey, et al.. (2025). Plasma proteomics links brain and immune system aging with healthspan and longevity. Nature Medicine. 31(8). 2703–2711. 9 indexed citations

Rutledge, Jarod, Patricia Moran‐Losada, Michaël E. Belloy, et al.. (2023). Post‐translational modifications linked to preclinical Alzheimer's disease–related pathological and cognitive changes. Alzheimer s & Dementia. 20(3). 1851–1867. 3 indexed citations

Olst, Lynn van, Brooke Simonton, Ziyang Zhang, et al.. (2022). Cerebrospinal fluid immune dysregulation during healthy brain aging and cognitive impairment. Cell. 185(26). 5028–5039.e13. 98 indexed citations

Wilson, Edward N., Michelle S. Swarovski, Marian Shahid, et al.. (2022). CSF Biomarkers of Amyloid and Tau Pathologies in Participants Enrolled in the Stanford Alzheimer’s Disease Research Center. Alzheimer s & Dementia. 18(S5). 1 indexed citations

Gate, David, Olivia Leventhal, Marian Shahid, et al.. (2021). CD4 ⁺ T cells contribute to neurodegeneration in Lewy body dementia. Science. 374(6569). 868–874. 131 indexed citations

Oh, Hamilton, Olivia Leventhal, Divya Channappa, et al.. (2021). Methods to investigate intrathecal adaptive immunity in neurodegeneration. Molecular Neurodegeneration. 16(1). 3–3. 11 indexed citations

Wilson, Edward N., Michelle S. Swarovski, Patricia Linortner, et al.. (2020). Soluble TREM2 is elevated in Parkinson’s disease subgroups with increased CSF tau. Brain. 143(3). 932–943. 59 indexed citations

Gate, David, Naresha Saligrama, Andrew C. Yang, et al.. (2019). O4‐09‐06: CLONALLY EXPANDED CD8 T CELLS PATROL ALZHEIMER'S CEREBROSPINAL FLUID. Alzheimer s & Dementia. 15(7S_Part_24). 2 indexed citations

Wong, Patty, Lin Li, Junie Chea, et al.. (2017). PET imaging of 64Cu-DOTA-scFv-anti-PSMA lipid nanoparticles (LNPs): Enhanced tumor targeting over anti-PSMA scFv or untargeted LNPs. Nuclear Medicine and Biology. 47. 62–68. 30 indexed citations

10.

Yazaki, Paul J., Divya Channappa, Chi Wai Cheung, et al.. (2012). A series of anti-CEA/anti-DOTA bispecific antibody formats evaluated for pre-targeting: comparison of tumor uptake and blood clearance. Protein Engineering Design and Selection. 26(3). 187–193. 29 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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