Abhay Dhand

1.7k citations
72 papers · 1.1k · h-index 14

Impact in

Papers in

    • COVID-19 Clinical Research Studies 10
    • Antimicrobial Resistance in Staphylococcus 9
    • Organ Transplantation Techniques and Outcomes 17
    • Transplantation: Methods and Outcomes 10

Abhay Dhand

60 papers receiving 1.0k citations

Peers

Abhay Dhand
Comparison fields: 5 of 103
  • Clinical Biochemistry 320
  • Infectious Diseases 701
  • Molecular Medicine 164
  • Applied Microbiology and Biotechnology 35
  • Transplantation 33
Replace G. Młynarczyk with:
G. Młynarczyk Poland
Moon Won Kang South Korea
Marta Wróblewska Poland
Ulrich Seybold Germany
Ingrid Wybo Belgium
Marı́a Gómez Spain
Stephanie L. Mitchell United States
F. Bert France
Sean B. Sullivan United States
B. Pilmis France
Abhay Dhand relative to G. Młynarczyk Poland G. Młynarczyk's profile →
Citations per field
00.5×1.5×
G. Młynarczyk · 1×
Citations per year

Countries citing papers authored by Abhay Dhand

Since Specialization
Citations

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

Fields of papers citing papers by Abhay Dhand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011201
2 2014139
3 2013108
4 2012102
5 202287
6 201456
7 200750
8 201823
9 202023
10 202022
11 202021
12 201715
13 202215
14 202215
15 201413
16 202312
17 202012
18 200711
19 201910
20 202210

About Abhay Dhand

Abhay Dhand is a scholar working on Infectious Diseases, Surgery, Hepatology, Epidemiology and Clinical Biochemistry, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (17 papers), Liver Disease and Transplantation (13 papers), Bacterial Identification and Susceptibility Testing (11 papers), Renal Transplantation Outcomes and Treatments (11 papers), Transplantation: Methods and Outcomes (10 papers), COVID-19 Clinical Research Studies (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Antibiotic Resistance in Bacteria (7 papers). The work is most often cited by research in Clinical Biochemistry (320 citations), Infectious Diseases (701 citations), Molecular Medicine (164 citations), Applied Microbiology and Biotechnology (35 citations) and Transplantation (33 citations). Abhay Dhand has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include George Sakoulas, Victor Nizet, Arnold S. Bayer, Joe Pogliano, Soo‐Jin Yang, Michael Bolaris, Kerry L. LaPlante, Cheryl Okumura, Poochit Nonejuie and Joseph Pogliano. Their work appears in journals such as Open Forum Infectious Diseases, Cardiology in Review, Clinical Infectious Diseases, Clinical Transplantation and The American Journal of Gastroenterology.

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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