Michael Klemba

3.0k citations
40 papers · 2.3k · h-index 24

Impact in

Papers in

Michael Klemba

39 papers receiving 2.3k citations

Peers

Michael Klemba
Comparison fields: 5 of 93
  • Public Health, Environmental and Occupational Health 1.3k
  • Parasitology 265
  • Oncology 529
  • Computational Theory and Mathematics 280
  • Virology 68
Replace Cecília P. Sanchez with:
Cecília P. Sanchez Germany
Anna Oksman United States
Puran Singh Sijwali India
Katharine R. Trenholme Australia
Daniel Parzy France
Donald L. Gardiner Australia
Debopam Chakrabarti United States
Sanjay A. Desai United States
Joseph F. Cortese United States
Brad E. Sleebs Australia
Michael Klemba relative to Cecília P. Sanchez Germany Cecília P. Sanchez's profile →
Citations per field
00.5×1.5×2.5×
Cecília P. Sanchez · 1×
Citations per year

Countries citing papers authored by Michael Klemba

Since Specialization
Citations

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

Fields of papers citing papers by Michael Klemba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002352
2 2001250
3 2002184
4 2004146
5 2007117
6 2011115
7 2004115
8 200493
9 199579
10 200577
11 200769
12 199259
13 200658
14 199554
15 201153
16 199240
17 201139
18 201439
19 201337
20 201634

About Michael Klemba

Michael Klemba is a scholar working on Public Health, Environmental and Occupational Health, Oncology, Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Malaria Research and Control (23 papers), Peptidase Inhibition and Analysis (13 papers), Mosquito-borne diseases and control (10 papers), Trypanosoma species research and implications (7 papers), Drug Transport and Resistance Mechanisms (4 papers), Chemical Synthesis and Analysis (3 papers), HIV Research and Treatment (3 papers) and Studies on Chitinases and Chitosanases (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.3k citations), Parasitology (265 citations), Oncology (529 citations), Computational Theory and Mathematics (280 citations) and Virology (68 citations). Michael Klemba has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Daniel E. Goldberg, Seema Dalal, Wandy L. Beatty, Ilya Y. Gluzman, Lorraine Pelosof, Ritu Banerjee, Jun Liu, Lynne Regan, Jeremy C. Mottram and John Kay. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Biochemical Parasitology, Proceedings of the National Academy of Sciences, PLoS ONE and Bioorganic & Medicinal Chemistry Letters.

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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