Vivek Nanda

2.2k citations
21 papers · 1.2k indexed · 1 hit paper · h-index 11

Vivek Nanda

20 papers receiving 1.2k citations

Hit Papers

CD47-blocking antibodies restore phagocytosis and prevent...5002016202620192022100200300400500

Peers

Vivek Nanda
Comparison fields: 5 of 102
  • Immunology 576
  • Cancer Research 301
  • Molecular Biology 597
  • Immunology and Allergy 41
  • Cardiology and Cardiovascular Medicine 123
Replace Francisco Caiado with:
Francisco Caiado Portugal
Sergio Caja Finland
Majid Shahbazi Iran
Anastasia Chillà Italy
Qi‐Quan Huang United States
Siyeon Rhee United States
Nerea Méndez‐Barbero Spain
Maria De Pizzol Italy
Karine Enesa United Kingdom
Stephanie Paone Australia
Vivek Nanda relative to Francisco Caiado Portugal Francisco Caiado's profile →
Citations per field
00.5×4.6×
Francisco Caiado · 1×
Citations per year

Countries citing papers authored by Vivek Nanda

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202419
3 20239
4 20230
5 202211
6 20224
7 20214
8 202123
9 20211
10 2020219
11 202011
12 201826
13 20171
14 20171
15
CD47-blocking antibodies restore phagocytosis and prevent atherosclerosisbreakdown →
2016500
16 201545
17 2014239
18 201172
19 201032
20 19991

About Vivek Nanda

Vivek Nanda is a scholar working on Emergency Medicine, Immunology, Molecular Biology, Modeling and Simulation and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Coenzyme Q10 studies and effects (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), RNA modifications and cancer (3 papers), Extracellular vesicles in disease (2 papers), Single-cell and spatial transcriptomics (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Genetic Associations and Epidemiology (2 papers) and Phagocytosis and Immune Regulation (2 papers). The work is most often cited by research in Immunology (576 citations), Cancer Research (301 citations), Molecular Biology (597 citations), Immunology and Allergy (41 citations) and Cardiology and Cardiovascular Medicine (123 citations). Vivek Nanda has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Joseph M. Miano, Nicholas J. Leeper, Yoko Kojima, Jianqin Ye, Irving L. Weissman, Ulf Hedin, Lars Mäegdefessel, Ljubica Matic, Andrew J. Connolly and Daniel DiRenzo. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Gene, PLoS Genetics, Circulation Research and International Journal of Infectious Diseases.

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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