Jeffrey H. Till

2.5k citations
12 papers · 1.9k indexed · 1 hit paper · h-index 11
Topics
Protein Kinase Regulation and GTPase Signaling (4 papers)Metabolism, Diabetes, and Cancer (4 papers)Chronic Myeloid Leukemia Treatments (4 papers)
Partner nations
United StatesAustria

In The Last Decade

Jeffrey H. Till

12 papers receiving 1.9k citations

Hit Papers

Protein Tyrosine Kinase Structure and Function20002026200820172000250500750

Peers

Jeffrey H. Till
Comparison fields: 5 of 94
  • Molecular Biology 1.3k
  • Oncology 431
  • Hematology 250
  • Radiology, Nuclear Medicine and Imaging 215
  • Genetics 205
Replace Linda S. Mulcahy with:
Linda S. Mulcahy United States
Evan Ingley Australia
Bi‐Ching Sang United States
Julie Litz United States
Margaret Porter Scott United States
Finn C. Wiberg Denmark
A Levitzki Israel
Richard Kendall United States
Jennifer L. Stamos United States
Stefan Hart Singapore
Jeffrey H. Till relative to Linda S. Mulcahy United States Linda S. Mulcahy's profile →
Citations per field
00.5×10×12.5×
Linda S. Mulcahy · 1×
Citations per year

Countries citing papers authored by Jeffrey H. Till

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey H. Till

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey H. Till. 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 Jeffrey H. Till. The network helps show where Jeffrey H. Till may publish in the future.

Co-authorship network of co-authors of Jeffrey H. Till

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey H. Till. A scholar is included among the top collaborators of Jeffrey H. Till based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey H. Till. Jeffrey H. Till is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 63
2 228
3 49
4 110
5 155
6 277
7 49
8 24
9
Protein Tyrosine Kinase Structure and Functionbreakdown →
876
10 25
11 9
12 67

About Jeffrey H. Till

Jeffrey H. Till is a scholar working on Hematology, Genetics and Molecular Biology, having authored 12 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Hematology (250 citations), Genetics (205 citations) and Molecular Biology (1.3k citations). Jeffrey H. Till has collaborated with scholars based in United States and Austria. Frequent co-authors include Stevan R. Hubbard, W. Todd Miller, Svetlana Favelyukis, Ararat J. Ablooglu, Ronald A. Kohanski, Giulio Superti‐Furga, Peter Valent, Keiryn L. Bennett, Jacques Colinge and Uwe Rix. Their work appears in journals such as Journal of Biological Chemistry, Annual Review of Biochemistry and Structure.

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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