Subir Goyal

1.2k citations
65 papers · 775 · h-index 14

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Peptidase Inhibition and Analysis

Papers in

Subir Goyal

57 papers receiving 768 citations

Peers

Subir Goyal
Comparison fields: 5 of 56
  • Hematology 143
  • Oncology 248
  • Pulmonary and Respiratory Medicine 205
  • Genetics 67
  • Pathology and Forensic Medicine 109
Replace Eric L. Raefsky with:
Eric L. Raefsky United States
Vishal Rana United States
Maria K. Beykirch Germany
Elaine K. Wong United States
Anthea Lau Canada
Anna Cariello Italy
Shamshad Ali United States
Hari Menon India
Mary Ellyn Witt United States
A.B.W. Nethersell United Kingdom
Subir Goyal relative to Eric L. Raefsky United States Eric L. Raefsky's profile →
Citations per field
00.5×5×10×14.9×
Eric L. Raefsky · 1×
Citations per year

Countries citing papers authored by Subir Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Subir Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019143
2 2021128
3 202236
4 202135
5 202133
6 202133
7 202131
8 202128
9 202123
10 201620
11 202320
12 202017
13 202115
14 201314
15 202114
16 202113
17 202312
18 202312
19 202111
20 202211

About Subir Goyal

Subir Goyal is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Dermatology, Pathology and Forensic Medicine and Genetics, having authored 65 papers that have together received 775 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (8 papers), Cutaneous lymphoproliferative disorders research (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Pancreatic and Hepatic Oncology Research (5 papers), Prostate Cancer Treatment and Research (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Fungal Infections and Studies (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (143 citations), Oncology (248 citations), Pulmonary and Respiratory Medicine (205 citations), Genetics (67 citations) and Pathology and Forensic Medicine (109 citations). Subir Goyal has collaborated with scholars based in United States, Philippines and India. Frequent co-authors include Viraj A. Master, Mehmet Asım Bilen, Zhengjia Chen, Ömer Küçük, Bradley Curtis Carthon, Ashesh B. Jani, Nisha S. Joseph, Shreyas Subhash Joshi, Jiayi Wu and Jonathan L. Kaufman. Their work appears in journals such as Annals of Surgical Oncology, The Oncologist, Blood, International Journal of Radiation Oncology*Biology*Physics and Journal of Surgical Oncology.

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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