Anchal Ghai

462 citations
17 papers · 318 · h-index 10

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Liver Disease and Transplantation

Papers in

Anchal Ghai

15 papers receiving 315 citations

Peers

Anchal Ghai
Comparison fields: 5 of 55
  • Hematology 61
  • Hepatology 31
  • Cancer Research 59
  • Pulmonary and Respiratory Medicine 106
  • Radiology, Nuclear Medicine and Imaging 75
Replace Yasuhiro Arakawa with:
Yasuhiro Arakawa Japan
Susan Hoppmann United States
Maria Rovithi Netherlands
David D. Gibbs New Zealand
Jean Pierre Lotz France
Carina Hage Germany
Kimihiro Ito Japan
Kenneth Lau United States
J. Sigmond Netherlands
Vince D. Cataldo United States
Anchal Ghai relative to Yasuhiro Arakawa Japan Yasuhiro Arakawa's profile →
Citations per field
00.5×10×13×
Yasuhiro Arakawa · 1×
Citations per year

Countries citing papers authored by Anchal Ghai

Since Specialization
Citations

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

Fields of papers citing papers by Anchal Ghai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2023104
2 201749
3 202034
4 201330
5 202218
6 202216
7 201212
8 201511
9 202011
10 20219
11 20199
12 20248
13 20153
14 20182
15 20162
16 20250
17 20240

About Anchal Ghai

Anchal Ghai is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Hematology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 17 papers that have together received 318 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (8 papers), Peptidase Inhibition and Analysis (7 papers), Multiple Myeloma Research and Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chronic Myeloid Leukemia Treatments (1 paper), Ferroptosis and cancer prognosis (1 paper), Protein Degradation and Inhibitors (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Hematology (61 citations), Hepatology (31 citations), Cancer Research (59 citations), Pulmonary and Respiratory Medicine (106 citations) and Radiology, Nuclear Medicine and Imaging (75 citations). Anchal Ghai has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Samuel Achilefu, Shili Li, Guosheng Liang, Monica Shokeen, Ruihui Zhang, Christopher Egbulefu, Yaqin Deng, Jin Ye, Baljinder Singh and John F. DiPersio. Their work appears in journals such as Applied Radiation and Isotopes, Journal of Nuclear Medicine, Scientific Reports, The American Journal of Gastroenterology and Molecular Cell.

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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