K. M. Chan

16.4k total citations
2 papers, 16 citations indexed

About

K. M. Chan is a scholar working on Computer Networks and Communications, Molecular Biology and Oncology. According to data from OpenAlex, K. M. Chan has authored 2 papers receiving a total of 16 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Molecular Biology and 1 paper in Oncology. Recurrent topics in K. M. Chan's work include Drug Transport and Resistance Mechanisms (1 paper), Mobile Agent-Based Network Management (1 paper) and Muscle metabolism and nutrition (1 paper). K. M. Chan is often cited by papers focused on Drug Transport and Resistance Mechanisms (1 paper), Mobile Agent-Based Network Management (1 paper) and Muscle metabolism and nutrition (1 paper). K. M. Chan collaborates with scholars based in United States. K. M. Chan's co-authors include Otto W. Neuhaus and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis.

In The Last Decade

K. M. Chan

2 papers receiving 15 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
K. M. Chan United States	2	7	4	3	3	3	2	16
M. Spencer United States	2	3 0.4×	3 0.8×	3 1.0×		4 1.3×	4	23
Olga McLeod Sweden	4	7 1.0×	2 0.5×	3 1.0×		3 1.0×	4	27
Nathan Jeffreys United Kingdom	2	5 0.7×	11 2.8×	2 0.7×		3 1.0×	4	14
R Ściborski Poland	3	4 0.6×	2 0.5×	3 1.0×		6 2.0×	7	23
M.A. Cancellieri Italy	3	12 1.7×	4 1.0×	8 2.7×		6 2.0×	4	25
Katherine Wesseling Perry United States	2	3 0.4×	6 1.5×	5 1.7×			2	17
A. Lorenzo Spain	3	8 1.1×	4 1.0×	2 0.7×		3 1.0×	5	15
J. Wendel Germany	3	4 0.6×	2 0.5×	5 1.7×			3	18
Deanna Stephens United States	3	3 0.4×	4 1.0×	2 0.7×			3	17
Katalin Bezzegh Hungary	3	7 1.0×	4 1.0×			3 1.0×	5	20

Countries citing papers authored by K. M. Chan

Since Specialization

Citations

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

Fields of papers citing papers by K. M. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. M. Chan. 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 K. M. Chan. The network helps show where K. M. Chan may publish in the future.

Co-authorship network of co-authors of K. M. Chan

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

All Works

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2 of 2 papers shown

1.

Chan, K. M.. (2004). Logistics management information system. 1 indexed citations

2.

Chan, K. M. & Otto W. Neuhaus. (1978). Sequential passage of through the hepatic endoplasmic reticulum and Golgi apparatus during secretion. Biochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis. 521(1). 333–341. 15 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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