Uma Kher

4.2k citations
36 papers · 2.2k · h-index 18

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 11
    • Pancreatic and Hepatic Oncology Research 3
    • Peptidase Inhibition and Analysis 3
    • Bone health and treatments 3
    • Esophageal Cancer Research and Treatment 4
    • Lipoproteins and Cardiovascular Health 4

Uma Kher

36 papers receiving 2.1k citations

Peers

Uma Kher
Comparison fields: 5 of 84
  • Orthopedics and Sports Medicine 399
  • Neurology 432
  • Oncology 737
  • Genetics 260
  • Pathology and Forensic Medicine 407
Replace Sri Harsha Tella with:
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Ralph V. Boccia United States
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Sverre Harvei Norway
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Uma Kher relative to Sri Harsha Tella United States Sri Harsha Tella's profile →
Citations per field
00.5×2×4×6.9×
Sri Harsha Tella · 1×
Citations per year

Countries citing papers authored by Uma Kher

Since Specialization
Citations

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

Fields of papers citing papers by Uma Kher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992439
2 1995308
3 1996192
4 1994161
5 2016143
6 1995138
7 2007134
8 2019131
9 1991114
10 201373
11 202163
12
Alendronate stimulation of nocturnal parathyroid hormone secretion: a mechanism to explain the continued improvement in bone mineral density accompanying alendronate therapy.
199638
13 201433
14 201630
15 201924
16 201824
17 199419
18 202218
19 201617
20 201916

About Uma Kher

Uma Kher is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Hematology and Molecular Biology, having authored 36 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Gastric Cancer Management and Outcomes (8 papers), Multiple Myeloma Research and Treatments (5 papers), Esophageal Cancer Research and Treatment (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Peptidase Inhibition and Analysis (3 papers) and Bone health and treatments (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (399 citations), Neurology (432 citations), Oncology (737 citations), Genetics (260 citations) and Pathology and Forensic Medicine (407 citations). Uma Kher has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Lisa M. DeAngelis, H Thaler, Joachim Yahalom, Arthur C. Santora, Steven I. Hajdu, Elliót W. Strong, Ronald Emkey, Richard P. Tonino, Joseph Tucci and Charles H. Chesnut. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, The American Journal of Cardiology, The American Journal of Medicine and 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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