Kim Mallard

2.5k citations
26 papers · 1.3k indexed · 1 hit paper · h-index 17
Topics
Tuberculosis Research and Epidemiology (19 papers)Mycobacterium research and diagnosis (18 papers)Diagnosis and treatment of tuberculosis (9 papers)

In The Last Decade

Kim Mallard

25 papers receiving 1.3k citations

Hit Papers

Rapid determination of anti-tuberculosis drug resistance ...2015202620182022201550100150200250

Peers

Kim Mallard
Comparison fields: 5 of 91
  • Infectious Diseases 1.1k
  • Epidemiology 1.0k
  • Surgery 442
  • Molecular Biology 349
  • Molecular Medicine 124
Replace Haican Liu with:
Haican Liu China
Edward Desmond United States
Mandira Varma‐Basil India
Nicola Casali United Kingdom
Graham Rose United Kingdom
Chiyoji Abe Japan
Glenn P. Morlock United States
Ruth McNerney United Kingdom
Valeriu Crudu United States
Susanne Homolka Germany
Kim Mallard relative to Haican Liu China Haican Liu's profile →
Citations per field
00.5×2.9×
Haican Liu · 1×
Citations per year

Countries citing papers authored by Kim Mallard

Since Specialization
Citations

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

Fields of papers citing papers by Kim Mallard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Mallard

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 48
3 88
4 6
5
Rapid determination of anti-tuberculosis drug resistance from whole-genome sequencesbreakdown →
282
6 88
7 174
8 43
9 9
10 130
11 56
12 75
13 37
14 59
15 22
16 55
17 43
18 46
19 8
20 14

About Kim Mallard

Kim Mallard is a scholar working on Infectious Diseases, Epidemiology and Endocrinology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (18 papers) and Diagnosis and treatment of tuberculosis (9 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Epidemiology (1.0k citations) and Molecular Medicine (124 citations). Kim Mallard has collaborated with scholars based in United Kingdom, Australia and Saudi Arabia. Frequent co-authors include Ruth McNerney, Taane G. Clark, Francesc Coll, José Afonso Guerra‐Assunção, Judith R. Glynn, Julian Parkhill, Amelia C. Crampin, Arnab Pain, Grant Hill-Cawthorne and Ruth McNerney. Their work appears in journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

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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