Amit Saxena

6.1k total citations · 1 hit paper
97 papers, 3.5k citations indexed

About

Amit Saxena is a scholar working on Rheumatology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Amit Saxena has authored 97 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Rheumatology, 22 papers in Cardiology and Cardiovascular Medicine and 21 papers in Immunology. Recurrent topics in Amit Saxena's work include Systemic Lupus Erythematosus Research (52 papers), Renal Diseases and Glomerulopathies (12 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). Amit Saxena is often cited by papers focused on Systemic Lupus Erythematosus Research (52 papers), Renal Diseases and Glomerulopathies (12 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). Amit Saxena collaborates with scholars based in United States, India and United Kingdom. Amit Saxena's co-authors include Nikolaos G. Frangogiannis, Peter Izmirly, Jill P. Buyon, Deborah Friedman, Ya Su, Mimi Kim, Ilaria Russo, Vikrant Rai, Ping Kong and Carolina Llanos and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Amit Saxena

87 papers receiving 3.4k citations

Hit Papers

Two-Year, Randomized, Controlled Trial of Belimumab in Lu... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers

Amit Saxena
Comparison fields: 5 of 101
  • Rheumatology 1.5k
  • Immunology 1.1k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Molecular Biology 700
  • Radiology, Nuclear Medicine and Imaging 482
Replace Shin‐ya Kawashiri with:
Shin‐ya Kawashiri Japan
Carlos García‐Porrúa Spain
Meral Çalgünerı Türkiye
Ilaria Cavazzana Italy
Gabriella Szűcs Hungary
Nicoletta Del Papa Italy
Irene E. van der Horst‐Bruinsma Netherlands
Philippe Dieudé France
Margherita Massa Italy
Theodoros Dimitroulas Greece
Shin‐ya Kawashiri Japan View profile →
Citations per field, relative to Amit Saxena
Amit Saxena · 1×
Citations per year, relative to Amit Saxena
Amit Saxena · 1×

Countries citing papers authored by Amit Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Amit Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Saxena

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 4
5 49
6 1
7 3
8 3
9 2
10 1
11 20
12 101
13 24
14 43
15 21
16 25
17 17
18 66
19 34
20 9

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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2026