Greg Yanik

1.1k citations
19 papers · 499 · h-index 11

Impact in

  • Neurology top 5%
    • Neuroblastoma Research and Treatments
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

Greg Yanik

18 papers receiving 491 citations

Peers

Greg Yanik
Comparison fields: 5 of 57
  • Neurology 214
  • Hematology 124
  • Cancer Research 124
  • Genetics 66
  • Endocrinology 21
Replace St. Müller-Weihrich with:
St. Müller-Weihrich Germany
Christina Nickenig Germany
Johann Hermann Germany
Wei‐Sing Chu United States
Robert Peter Gale United States
Henry Januszewicz Australia
Benjamin Tomlinson United States
Roberta Burnelli Italy
G. J. Ossenkoppele Netherlands
AD Elias United States
Greg Yanik relative to St. Müller-Weihrich Germany St. Müller-Weihrich's profile →
Citations per field
00.5×10.5×
St. Müller-Weihrich · 1×
Citations per year

Countries citing papers authored by Greg Yanik

Since Specialization
Citations

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

Fields of papers citing papers by Greg Yanik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1996109
2 201271
3 201252
4 201749
5 200946
6 201241
7 200533
8 200825
9 201224
10 201616
11
Functional-metabolic imaging of neuroblastoma.
201315
12
Reduced intensity versus full myeloablative stem cell transplant for advanced CLL. Bone Marrow Transplant
20094
13 20104
14 19993
15 20192
16 20062
17 20112
18 20031
19 20220

About Greg Yanik

Greg Yanik is a scholar working on Neurology, Cancer Research, Molecular Biology, Hematology and Surgery, having authored 19 papers that have together received 499 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Adrenal and Paraganglionic Tumors (4 papers), Cancer therapeutics and mechanisms (3 papers), Acute Myeloid Leukemia Research (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Neurology (214 citations), Hematology (124 citations), Cancer Research (124 citations), Genetics (66 citations) and Endocrinology (21 citations). Greg Yanik has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Barry L. Shulkin, Raymond J. Hutchinson, Valerie P. Castle, James C. Sisson, Brahm Shapiro, Sung Won Choi, Attaphol Pawarode, John Magenau, Thomas Braun and John E. Levine. Their work appears in journals such as Journal of Clinical Oncology, Blood, Clinical Cancer Research, Molecular & Cellular Proteomics and European Journal of 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.

Explore authors with similar magnitude of impact