Jack Ishak

517 citations
21 papers · 385 · h-index 9

Impact in

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

Papers in

    • Multiple Myeloma Research and Treatments 5
    • Lung Cancer Research Studies 2
    • Cancer Treatment and Pharmacology 2
    • Pancreatic and Hepatic Oncology Research 1

Jack Ishak

19 papers receiving 372 citations

Peers

Jack Ishak
Comparison fields: 5 of 56
  • Hematology 129
  • Oncology 90
  • Cardiology and Cardiovascular Medicine 51
  • Economics and Econometrics 55
  • Endocrinology, Diabetes and Metabolism 29
Replace Sumeet Panjabi with:
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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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013100
2 200554
3 201454
4 201141
5 201534
6 201725
7 200818
8 200317
9 20168
10 20176
11 20126
12 20165
13 20244
14 20084
15 20153
16 20152
17 20182
18
Overall Survival (OS) Analysis of Sunitinib (SU) after Adjustment for Crossover (CO) in Patients with Pancreatic Neuroendocrine Tumors (NET)
20111
19 20151
20 20240

About Jack Ishak

Jack Ishak is a scholar working on Hematology, Oncology, Economics and Econometrics, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 385 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Statistical Methods in Clinical Trials (3 papers), Lung Cancer Research Studies (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Cancer Treatment and Pharmacology (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Hormonal Regulation and Hypertension (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Hematology (129 citations), Oncology (90 citations), Cardiology and Cardiovascular Medicine (51 citations), Economics and Econometrics (55 citations) and Endocrinology, Diabetes and Metabolism (29 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 Libby Black. Their work appears in journals such as Blood, Current Medical Research and Opinion, European Journal of Preventive Cardiology, Circulation and Journal of Clinical Hypertension.

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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