Chirag Acharya

2.9k citations
29 papers · 1.5k indexed · 1 hit paper · h-index 14
Topics
Multiple Myeloma Research and Treatments (18 papers)Peptidase Inhibition and Analysis (5 papers)T-cell and B-cell Immunology (4 papers)
Journals
SHILAP Revista de lepidopterologíaBloodClinical Cancer Research
Partner nations
United StatesChinaItaly

In The Last Decade

Chirag Acharya

28 papers receiving 1.5k citations

Hit Papers

Novel anti–B-cell maturation antigen antibody-drug conjug...20142026201820222014100200300

Peers

Chirag Acharya
Comparison fields: 5 of 82
  • Oncology 855
  • Hematology 820
  • Molecular Biology 583
  • Immunology 344
  • Radiology, Nuclear Medicine and Imaging 263
Replace Evdoxia Hatjiharissi with:
Evdoxia Hatjiharissi United States
Sheeba K. Thomas United States
Esther A. Obeng United States
Lugui Qiu China
Marijn Bögels Netherlands
Sílvia Marcé Spain
Jerzy Z. Błoński Poland
Christian Bogner Germany
Jan B. Egan United States
Leonard T. Heffner United States
Chirag Acharya relative to Evdoxia Hatjiharissi United States Evdoxia Hatjiharissi's profile →
Citations per field
00.5×2.6×
Evdoxia Hatjiharissi · 1×
Citations per year

Countries citing papers authored by Chirag Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Chirag Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chirag Acharya

This figure shows the co-authorship network connecting the top 25 collaborators of Chirag Acharya. A scholar is included among the top collaborators of Chirag Acharya 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 Chirag Acharya. Chirag Acharya 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
#WorkIndexed citations
1 0
2 39
3 9
4 66
5 46
6 1
7 1
8 6
9 193
10 50
11 8
12 81
13 251
14 9
15 50
16 1
17 32
18 2
19 2
20 2

About Chirag Acharya

Chirag Acharya is a scholar working on Hematology, Physiology and Oncology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Peptidase Inhibition and Analysis (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Hematology (820 citations), Oncology (855 citations) and Physiology (83 citations). Chirag Acharya has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Yu‐Tzu Tai, Nikhil C. Munshi, Kenneth C. Anderson, Gang An, Xiaoyan Feng, Mike Zhong, Kenneth Wen, Antonia Cagnetta, Paul G. Richardson and Michele Cea. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Clinical Cancer Research.

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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