Raghav Chawla

6.5k citations
24 papers · 3.2k indexed · 1 hit paper · h-index 9

Impact in

  • Immunology top 2%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research

Papers in

Raghav Chawla

20 papers receiving 3.2k citations

Hit Papers

Reversed graph embedding resolves complex single-cell trajectories 2017 · 2.6k citations
2.6k201720262020202350010001.5k2.0k2.5k

Peers

Raghav Chawla
Comparison fields: 5 of 117
  • Immunology 937
  • Cancer Research 498
  • Aging 54
  • Molecular Biology 2.1k
  • Biophysics 149
Replace Lyndsay M. Murrow with:
Lyndsay M. Murrow United States
Thomas Moerman Belgium
Monika S. Kowalczyk United States
Zeynep Kalender Atak Belgium
Carmen Bravo González‐Blas Belgium
Prapti Pokharel United States
Daniel M. Ibrahim Germany
Jasper Wouters Belgium
Ram P. Naikawadi United States
Xingfan Huang United States
Raghav Chawla relative to Lyndsay M. Murrow United States Lyndsay M. Murrow's profile →
Citations per field
00.5×1.5×1.9×
Lyndsay M. Murrow · 1×
Citations per year

Countries citing papers authored by Raghav Chawla

Since Specialization
Citations

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

Fields of papers citing papers by Raghav Chawla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20233
4 20231
5 202248
6 20214
7 20203
8 20200
9 201997
10 201996
11 201813
12
Reversed graph embedding resolves complex single-cell trajectories
Hit paper breakdown →
20172596
13 20161
14 201174
15 2009201
16 200836
17 20051
18 20041
19 20040
20 20041

About Raghav Chawla

Raghav Chawla is a scholar working on Otorhinolaryngology, Molecular Medicine, Genetics, Gastroenterology and Hematology, having authored 24 papers that have together received 3.2k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (3 papers), Pancreatic function and diabetes (2 papers), Complement system in diseases (2 papers), Epigenetics and DNA Methylation (2 papers), Diabetes and associated disorders (2 papers), Cancer Genomics and Diagnostics (2 papers), DNA Repair Mechanisms (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Immunology (937 citations), Cancer Research (498 citations), Aging (54 citations), Molecular Biology (2.1k citations) and Biophysics (149 citations). Raghav Chawla has collaborated with scholars based in Switzerland, United States and India. Frequent co-authors include Cole Trapnell, Li Wang, Qi Mao, Hannah A. Pliner, Xiaojie Qiu, Ying Tang, Claus M. Azzalin, Harry Wischnewski, Solomon G. Nergadze and Lela Khoriauli. Their work appears in journals such as Blood, Nature Methods, Cell Reports, RNA and The Journal of Experimental Medicine.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026