Huma Khan

730 citations
27 papers · 565 · h-index 13

Impact in

Papers in

    • Cancer-related Molecular Pathways 3
    • Cancer Risks and Factors 2
    • Breast Cancer Treatment Studies 5

Huma Khan

25 papers receiving 547 citations

Peers

Huma Khan
Comparison fields: 5 of 98
  • Otorhinolaryngology 43
  • Endocrinology, Diabetes and Metabolism 76
  • Food Science 86
  • Oncology 107
  • Cancer Research 48
Replace Álvaro Xavier Franco with:
Álvaro Xavier Franco Brazil
Ching‐Yu Yen Taiwan
Sreevidya Santha United States
M Yamazaki Japan
Jun-Ho Choe South Korea
Miku Kaneko Japan
Chaonan Sun China
Aire Laine Finland
Tae Kwun Ha South Korea
Huma Khan relative to Álvaro Xavier Franco Brazil Álvaro Xavier Franco's profile →
Citations per field
00.5×7.6×
Álvaro Xavier Franco · 1×
Citations per year

Countries citing papers authored by Huma Khan

Since Specialization
Citations

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

Fields of papers citing papers by Huma Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999101
2 201884
3 202369
4 202063
5 201633
6 201533
7 201432
8 201425
9 201620
10 199918
11 202115
12 201514
13 202012
14 201410
15
Aptamers in oncology: a diagnostic perspective
20089
16 20108
17
ANTIOXIDANT PROPERTIES AND PHYTOCHEMICAL PRINCIPLES OF SOME MEDICINAL PLANTS: ADENIUM OBESUM (FORSSK.) ROEM. & SCHULT., IXORA COCCINEA LINN. AND AEGLE MARMELOS LINN.
20185
18 20175
19 20252
20 20202

About Huma Khan

Huma Khan is a scholar working on Oncology, Cancer Research, Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 27 papers that have together received 565 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Head and Neck Cancer Studies (3 papers), Cancer-related Molecular Pathways (3 papers), Breast Lesions and Carcinomas (3 papers), RNA Interference and Gene Delivery (2 papers), Cancer Risks and Factors (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers) and Natural Antidiabetic Agents Studies (2 papers). The work is most often cited by research in Otorhinolaryngology (43 citations), Endocrinology, Diabetes and Metabolism (76 citations), Food Science (86 citations), Oncology (107 citations) and Cancer Research (48 citations). Huma Khan has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include Ravinder Kaushik, Jaydutt V. Vadgama, Ram Chillar, Yanyuan Wu, Geetanjali D. Datta, Seema Gupta, Nuzhat Husain, Prince Chawla, Shabirul Haque and Sotiris Missailidis. Their work appears in journals such as Cancer Biology & Therapy, Breast Cancer Research, Pharmaceutics, Pharmaceutical Biology and 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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