Jack Ishak

512 citations
20 papers · 374 · h-index 9

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis

Papers in

    • Cancer Treatment and Pharmacology 3
    • Lung Cancer Research Studies 2
    • Multiple Myeloma Research and Treatments 5

Jack Ishak

19 papers receiving 363 citations

Peers

Jack Ishak
Comparison fields: 5 of 65
  • Hematology 136
  • Oncology 151
  • Economics and Econometrics 93
  • Geriatrics and Gerontology 12
  • Cardiology and Cardiovascular Medicine 66
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Citations per field
00.5×1.7×
Sumeet Panjabi · 1×
Citations per year

Countries citing papers authored by Jack Ishak

Since Specialization
Citations

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

Fields of papers citing papers by Jack Ishak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013100
2 201452
3 200551
4 201141
5 201532
6 201724
7 200818
8 200316
9 20168
10 20176
11 20126
12 20165
13 20084
14 20153
15 20242
16 20182
17 20152
18
Overall Survival (OS) Analysis of Sunitinib (SU) after Adjustment for Crossover (CO) in Patients with Pancreatic Neuroendocrine Tumors (NET)
20111
19 20151
20 20090

About Jack Ishak

Jack Ishak is a scholar working on Oncology, Hematology, Economics and Econometrics, Statistics and Probability and Epidemiology, having authored 20 papers that have together received 374 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Statistical Methods in Clinical Trials (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Cancer Treatment and Pharmacology (3 papers), Economic and Financial Impacts of Cancer (2 papers), Hormonal Regulation and Hypertension (2 papers), Lung Cancer Research Studies (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Hematology (136 citations), Oncology (151 citations), Economics and Econometrics (93 citations), Geriatrics and Gerontology (12 citations) and Cardiology and Cardiovascular Medicine (66 citations). Jack Ishak has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Irina Proskorovsky, Karin Jordan, Philip Lewis, Charalampia Kyriakou, Faith E. Davies, Cathy Williams, J. Jaime, Sarah Peters, Krista Payne and Yijian Huang. Their work appears in journals such as Blood, Current Medical Research and Opinion, Alzheimer s & Dementia, Orphanet Journal of Rare Diseases and Annals of the Rheumatic Diseases.

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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