Payam Nahid

13.4k total citations · 2 hit papers
102 papers, 4.6k citations indexed

About

Payam Nahid is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Payam Nahid has authored 102 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Infectious Diseases, 60 papers in Epidemiology and 35 papers in Surgery. Recurrent topics in Payam Nahid's work include Tuberculosis Research and Epidemiology (87 papers), Mycobacterium research and diagnosis (38 papers) and Infectious Diseases and Tuberculosis (26 papers). Payam Nahid is often cited by papers focused on Tuberculosis Research and Epidemiology (87 papers), Mycobacterium research and diagnosis (38 papers) and Infectious Diseases and Tuberculosis (26 papers). Payam Nahid collaborates with scholars based in United States, Uganda and United Kingdom. Payam Nahid's co-authors include Alimuddin Zumla, Stewart T. Cole, Philip C. Hopewell, Robert M. Jasmer, Leah G. Jarlsberg, Dennis Osmond, L. Masae Kawamura, John L. Johnson, Karen R Steingart and Charles L. Daley and has published in prestigious journals such as New England Journal of Medicine, Nature Medicine and Nature Communications.

In The Last Decade

Payam Nahid

94 papers receiving 4.4k citations

Hit Papers

Advances in the development of new tuberculosis drugs and... 2013 2026 2017 2021 2013 2018 200 400 600

Peers

Payam Nahid
Comparison fields: 5 of 156
  • Infectious Diseases 3.3k
  • Epidemiology 2.5k
  • Surgery 1.2k
  • Molecular Biology 964
  • Immunology 348
Peter Mwaba Zambia
Rosella Centis Italy
Jennifer Furin United States
Matthew Bates United Kingdom
Roxana Rustomjee South Africa
Payam Tabarsi Iran
Matteo Zignol Switzerland
Michael G. Ison United States
Jeremiah Chakaya Kenya
Neel R. Gandhi United States
Peter Mwaba Zambia View profile →
Citations per field, relative to Payam Nahid
Payam Nahid · 1×
Citations per year, relative to Payam Nahid
Payam Nahid · 1×

Countries citing papers authored by Payam Nahid

Since Specialization
Citations

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

Fields of papers citing papers by Payam Nahid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payam Nahid

This figure shows the co-authorship network connecting the top 25 collaborators of Payam Nahid. A scholar is included among the top collaborators of Payam Nahid 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 Payam Nahid. Payam Nahid 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
# Work Indexed citations
1 2
2 0
3 1
4 0
5 38
6 12
7 26
8 14
9 2
10 15
11 11
12 19
13 11
14 76
15 26
16 13
17 41
18 245
19 30
20 99

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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