Harold D. May

5.6k citations
68 papers · 4.4k indexed · h-index 41

Impact in

Papers in

Harold D. May

68 papers receiving 4.2k citations

Peers

Harold D. May
Comparison fields: 5 of 115
  • Pollution 1.8k
  • Environmental Engineering 2.0k
  • Health, Toxicology and Mutagenesis 897
  • Renewable Energy, Sustainability and the Environment 1.0k
  • Pharmaceutical Science 308
Replace Abraham Esteve‐Núñez with:
Abraham Esteve‐Núñez Spain
Zhiling Li China
Gabriele Diekert Germany
Jiti Zhou China
Liping Huang China
Jiti Zhou China
Xiangchun Quan China
Guoping Sun China
Guangfei Liu China
Shou‐Qing Ni China
Harold D. May relative to Abraham Esteve‐Núñez Spain Abraham Esteve‐Núñez's profile →
Citations per field
00.5×4.3×
Abraham Esteve‐Núñez · 1×
Citations per year

Countries citing papers authored by Harold D. May

Since Specialization
Citations

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

Fields of papers citing papers by Harold D. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold D. May. 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 Harold D. May. The network helps show where Harold D. May may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20236
3 202343
4 202339
5 202020
6 2018210
7 2017112
8 2017107
9 201621
10 201695
11 2014111
12 201394
13 201316
14 201267
15 201140
16 2008125
17 2007102
18 20041
19
Dechlorination of PCBs with Hudson River bacterial cultures under anaerobic conditions: Effect of sulfate, sulfite and nitrate
19921
20 199087

About Harold D. May

Harold D. May is a scholar working on Pollution, Environmental Engineering, Pharmaceutical Science, Health, Toxicology and Mutagenesis and Renewable Energy, Sustainability and the Environment, having authored 68 papers that have together received 4.4k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (34 papers), Microbial Fuel Cells and Bioremediation (22 papers), Microbial Community Ecology and Physiology (13 papers), Toxic Organic Pollutants Impact (13 papers), Chemical Reactions and Isotopes (8 papers), CO2 Reduction Techniques and Catalysts (7 papers), Environmental remediation with nanomaterials (7 papers) and Metalloenzymes and iron-sulfur proteins (7 papers). The work is most often cited by research in Pollution (1.8k citations), Environmental Engineering (2.0k citations), Health, Toxicology and Mutagenesis (897 citations), Renewable Energy, Sustainability and the Environment (1.0k citations) and Pharmaceutical Science (308 citations). Harold D. May has collaborated with scholars based in United States, China and France. Frequent co-authors include Kevin R. Sowers, C. W. Marshall, Edward V. LaBelle, Joy E. M. Watts, R. Sean Norman, Daniel E. Ross, Qingzhong Wu, Erin B. Fichot, Charles E. Milliken and Sonja K. Fagervold. Their work appears in journals such as Applied and Environmental Microbiology, Environmental Science & Technology, Water Research, Environmental Microbiology 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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