Sundar Jagannath

62.0k citations
626 papers · 21.2k indexed · 3 hit papers · h-index 76
Topics
Multiple Myeloma Research and Treatments (498 papers)Protein Degradation and Inhibitors (215 papers)Cancer Treatment and Pharmacology (95 papers)

In The Last Decade

Sundar Jagannath

603 papers receiving 20.6k citations

Hit Papers

High-Dose Therapy and Autologous Bone Marrow Transplantat...1987202620002013198720041988200400600

Peers

Sundar Jagannath
Comparison fields: 5 of 142
  • Hematology 13.9k
  • Oncology 10.8k
  • Molecular Biology 10.7k
  • Immunology 3.0k
  • Pathology and Forensic Medicine 2.6k
Replace Hartmut Goldschmidt with:
Hartmut Goldschmidt Germany
Thierry Façon France
Guido Tricot United States
Jean‐Luc Harousseau France
Rafaël Fonseca United States
Mario Boccadoro Italy
Joan Bladé Spain
David S. Siegel United States
Michel Attal France
Raymond Alexanian United States
Sundar Jagannath relative to Hartmut Goldschmidt Germany Hartmut Goldschmidt's profile →
Citations per field
00.5×1.5×1.9×
Hartmut Goldschmidt · 1×
Citations per year

Countries citing papers authored by Sundar Jagannath

Since Specialization
Citations

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

Fields of papers citing papers by Sundar Jagannath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sundar Jagannath

This figure shows the co-authorship network connecting the top 25 collaborators of Sundar Jagannath. A scholar is included among the top collaborators of Sundar Jagannath 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 Sundar Jagannath. Sundar Jagannath 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 1
2 0
3 1
4 2
5 0
6 1
7 17
8 0
9 2
10 2
11 27
12 2
13 59
14 31
15 11
16 29
17 27
18 166
19 311
20 3

About Sundar Jagannath

Sundar Jagannath is a scholar working on Hematology, Oncology and Genetics, having authored 626 papers that have together received 21.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (498 papers), Protein Degradation and Inhibitors (215 papers) and Cancer Treatment and Pharmacology (95 papers). The work is most often cited by research in Hematology (13.9k citations), Oncology (10.8k citations) and Genetics (2.4k citations). Sundar Jagannath has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Bart Barlogie, Guido Tricot, David S. Siegel, David H. Vesole, Kenneth C. Anderson, Paul G. Richardson, Amitabha Mazumder, John Crowley, Sagar Lonial and Nikhil C. Munshi. Their work appears in journals such as New England Journal of Medicine, Nature Medicine 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