Amit Khot

2.9k citations
53 papers · 971 · h-index 12

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

Amit Khot

45 papers receiving 961 citations

Peers

Amit Khot
Comparison fields: 5 of 62
  • Genetics 253
  • Hematology 253
  • Dermatology 184
  • Pathology and Forensic Medicine 340
  • Oncology 299
Replace Paulo Lúcio with:
Paulo Lúcio Portugal
Michal Bar‐Natan United States
Radovan Vrḫovac Croatia
Poul Knoblauch Denmark
Junjiro Tsuchiyama Japan
L. Austin Doyle United States
Sheeja T. Pullarkat United States
Kerstin Allen United States
José García‐Laraña Spain
Amit Khot relative to Paulo Lúcio Portugal Paulo Lúcio's profile →
Citations per field
00.5×5.4×
Paulo Lúcio · 1×
Citations per year

Countries citing papers authored by Amit Khot

Since Specialization
Citations

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

Fields of papers citing papers by Amit Khot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014169
2 2014153
3 2019132
4 201679
5 201760
6 201955
7 201151
8 201338
9 202032
10 201320
11 202317
12 202014
13 201311
14 202010
15 201510
16 20138
17 20218
18 20208
19 20158
20 20167

About Amit Khot

Amit Khot is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Molecular Biology and Genetics, having authored 53 papers that have together received 971 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (20 papers), Multiple Myeloma Research and Treatments (15 papers), Chronic Lymphocytic Leukemia Research (13 papers), Cutaneous lymphoproliferative disorders research (8 papers), Protein Degradation and Inhibitors (7 papers), Ubiquitin and proteasome pathways (7 papers), Peptidase Inhibition and Analysis (5 papers) and Viral-associated cancers and disorders (5 papers). The work is most often cited by research in Genetics (253 citations), Hematology (253 citations), Dermatology (184 citations), Pathology and Forensic Medicine (340 citations) and Oncology (299 citations). Amit Khot has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michael Dickinson, H. Miles Prince, Constantine S. Tam, Simon J. Harrison, Kate Burbury, David Ritchie, Nadine Hein, David Westerman, Ross D. Hannan and Grant A. McArthur. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, Cancers and Supportive Care in Cancer.

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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