John Y. Mak

1.3k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

John Y. Mak is a scholar working on Oncology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, John Y. Mak has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Immunology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in John Y. Mak's work include Chemokine receptors and signaling (4 papers), Pregnancy-related medical research (2 papers) and T-cell and B-cell Immunology (2 papers). John Y. Mak is often cited by papers focused on Chemokine receptors and signaling (4 papers), Pregnancy-related medical research (2 papers) and T-cell and B-cell Immunology (2 papers). John Y. Mak collaborates with scholars based in United States and Australia. John Y. Mak's co-authors include Thomas J. Schall, Kuldeep Neote, David A. DiGregorio, Richard Horuk, Elaine Unemori, Geoffrey W. Tregear, Ross A. D. Bathgate, Ishanee Mookerjee, Xiao‐Jun Du and Sharon Layfield and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

John Y. Mak

8 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular cloning, functional expression, and signaling characteristics of a C-C chemokine receptor

1993 643 citations Kuldeep Neote, David A. DiGregorio et al. Cell profile →

Peers

John Y. Mak

IMMUN

ONCOL

PHEOH

EPIDE

MB

Renata Mazzucchelli Italy

Susan M. Turcovski‐Corrales United States

Brigitte Eibl Austria

Ann E. Schmierer United States

Marie‐Claude Crevon France

Chiwen Chang United Kingdom

Hitomi Nagayama Japan

Christian A. Schmidt Germany

Ioannis D. Dimitriou Canada

Guillaume Darrasse-Jèze France

Renata Mazzucchelli Italy

John Y. Mak

774 ×1.6

IMMUN

249 ×0.6

ONCOL

69 ×0.2

PHEOH

91 ×0.5

EPIDE

134 ×0.9

MB

Citations per year, relative to John Y. Mak John Y. Mak (= 1×) peers Renata Mazzucchelli

Countries citing papers authored by John Y. Mak

Since Specialization

Citations

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

Fields of papers citing papers by John Y. Mak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Y. Mak. 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 John Y. Mak. The network helps show where John Y. Mak may publish in the future.

Co-authorship network of co-authors of John Y. Mak

This figure shows the co-authorship network connecting the top 25 collaborators of John Y. Mak. A scholar is included among the top collaborators of John Y. Mak 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 John Y. Mak. John Y. Mak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Kim, Min P., et al.. (2007). Skin and soft tissue necrosis from calcium chloride in a deicer. Journal of Emergency Medicine. 32(1). 41–44. 8 indexed citations

2.

Samuel, Chrishan S., Elaine Unemori, Ishanee Mookerjee, et al.. (2004). Relaxin Modulates Cardiac Fibroblast Proliferation, Differentiation, and Collagen Production and Reverses Cardiac Fibrosis in Vivo. Endocrinology. 145(9). 4125–4133. 245 indexed citations

3.

Constantinescu, Alexandru R., Jerome C. Lane, John Y. Mak, Beth Zavilowitz, & Lisa M. Satlin. (2000). Na⁺-K⁺-ATPase-mediated basolateral rubidium uptake in the maturing rabbit cortical collecting duct. American Journal of Physiology-Renal Physiology. 279(6). F1161–F1168. 9 indexed citations

4.

Parsell, Dawn A., John Y. Mak, Edward P. Amento, & Elaine Unemori. (1996). Relaxin Binds to and Elicits a Response from Cells of the Human Monocytic Cell Line, THP-1. Journal of Biological Chemistry. 271(44). 27936–27941. 79 indexed citations

5.

Luo, Yi, Joseph Laning, S Devi, et al.. (1994). Biologic activities of the murine beta -chemokine TCA3.. The Journal of Immunology. 153(10). 4616–4624. 50 indexed citations

6.

Schall, Thomas J., John Y. Mak, David A. DiGregorio, & Kuldeep Neote. (1993). Receptor/Ligand Interactions in the C-C Chemokine Family. Advances in experimental medicine and biology. 351. 29–37. 5 indexed citations

7.

Neote, Kuldeep, David A. DiGregorio, John Y. Mak, Richard Horuk, & Thomas J. Schall. (1993). Molecular cloning, functional expression, and signaling characteristics of a C-C chemokine receptor. Cell. 72(3). 415–425. 643 indexed citations breakdown →

8.

Schall, Thomas J., Nancy Simpson, & John Y. Mak. (1992). Molecular cloning and expression of the murine RANTES cytokine: structural and functional conservation between mouse and man. European Journal of Immunology. 22(6). 1477–1481. 61 indexed citations

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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